Abstract
This qualitative inquiry presents the case study of five gifted eighth-grade students who engaged in an e-mentoring project in mathematics. The study reported in this article investigated the role of e-mentoring in gifted students’ academic life. Three themes predominated in the collected data were (a) motivation, (b) effective communication and supportive interaction, and (c) practicing as professionals. The findings indicated that the students engaged with e-mentoring had high motivation and desire and were able to maintain their perseverance to complete required individual and group tasks. The study revealed that the students formed an efficient and interactive group and worked collaboratively. They were able to find a way of working as a community. Furthermore, the findings showed that the treatment of students as practicing professionals encouraged them to think and work as real mathematicians.
Over the past decade, mentorship programs have received considerable attention as an educational intervention for students with varied academic, behavioral, and social needs. Mentoring is increasingly recognized as a means of providing guidance for all students, including gifted students. It can be a valuable process for educating and encouraging gifted students (Clasen & Clasen, 2003). Research on mentorship has noted the positive effects of mentoring in the lives of highly successful people (Bloom, 1985a, 1985b; Kaufman, Harrel, Milam, Woolverton, & Miller, 1986; Roche, 1979; Torrance, 1984; Vaillant, 1977). In his review, Vaillant (1977) found that a majority of the most successful Americans had mentors in their youth. Other studies conducted by different researchers revealed similar results. Bloom (1985a, 1985b), for example, found that people who had achieved excellence in various domains were guided by mentors in their early lives. Roche (1979) found that about 4,000 of the most successful American executives listed in “Who’s News” of the Wall Street Journal had personal mentors.
There are several reasons why gifted students may be considered ideal subjects for mentorships. First of all, it should be noted that intervention by adults is essential to the development of gifted behaviors. Therefore, mentors who are experts in a particular field of interest can inspire, challenge, and encourage gifted students to continue their skill development. Mentors can also help students who may face extraordinary obstacles in realizing their potential (Clasen & Clasen, 2003). The research literature suggests that mentorships are especially helpful for extremely precocious students (Lupkowski, Assouline, & Stanley, 1990; Stanley, 1979), for gifted students who have exhausted the regular school resources (Reilly, 1992), and for gifted underachieving or disadvantaged students who are unaware of their potential that may never be realized without special interventions (Goff & Torrance, 1999).
In recent years, a computer-mediated environment has become a vital part of the teaching and learning process. This environment has great potential to provide extensive possibilities for mentoring. Hamilton and Scandura (2003) defined e-mentoring as a method using electronic means as the primary channel of communication between mentors and mentees. E-mentoring can be described as a rapport set up between a mentor and a mentee (Single & Muller, 2001), primarily using electronic communication, to help the mentee succeed by developing his skills, knowledge, and confidence. The benefit of this rapport established through an electronic forum is its convenience in terms of time, location, and cost (Burgstahler & Cronheim, 2001; Cohen & Light, 2000; Ho, 2000; Sword & Hill, 2002).
Literature Review
The relevant literature base in e-mentoring research is still developing. E-mentoring has opened new windows of opportunity for individuals to gain access to mentors in a wide variety of academic and professional career fields. E-mentoring has been used in both the public and private sectors for different purposes: to develop virtual communities in higher education institutions (Kasprisin, Single, Single, & Muller, 2003; Schrum, English, & Galizio, 2012); to advance high-quality math, science, and special education instruction for all students (Burgstahler & Cronheim, 2001; Li, Moorman, & Dyjur, 2010; Long & Close, 2012; Shpigelman, Weiss, & Reiter, 2009); and to provide career or business development advice (Headlam-Wells, Gosland, & Craig, 2005).
Of note, the studies exploring the role and effectiveness of e-mentoring programs adopted different research approaches and designs. For example, Schrum et al. (2012) explored six online mentors’ experiences in a federally funded 3-year project, Developing Authentic Vocational and Educational Supports (DAVES), which was designed to provide support and training to community college faculty in their online efforts and to develop an innovative and interactive model to support their students’ academic and career needs. Through individual and focus group interviews, Schrum et al. examined the ways online mentors were approaching their tasks, meeting the needs of their mentees, and developing relationships with participants. Li et al. (2010) developed a model of inquiry-based learning with e-mentoring (IBLE) using videoconference and examined the effects of this model on rural secondary students’ mathematics and science learning. Participants in this study were 3 eighth-grade math classes from a Canadian rural school: one treatment group of 26 students and two control groups comprised of 41 students. Quintana and Zambrano (2014) adopted a phenomenological approach to explore the subjective experiences of four pairs of teachers and mentors. The aim of this study was to describe and analyze how e-mentoring can strengthen pedagogical performances of primary rural teachers with complex geographical accesses in Chile.
The research literature shows that e-mentoring carries obvious benefits and drawbacks. The benefits associated with e-mentoring are a combination of advantages associated with face-to-face mentoring and those that are unique to its electronic dimension (Kasprisin et al., 2003; Single & Single, 2005a, 2005b; Whiting & de Janaz, 2003). E-mentoring provides flexibility and easy access for participants, reducing barriers to mentoring because of their gender, ethnicity, disability, or geographical location (Bierema & Hill, 2005; Fagenson-Eland & Lu, 2004). Bierema and Merriam (2002) argued that in e-mentoring, a learning process is driven by being “boundaryless, egalitarian, and qualitatively different than land-based face-to-face mentoring” (p. 214). E-mentoring provides opportunities for the mentor and mentees to interact more frequently and at more convenient times online instead of arranging meeting times in their busy schedules (Ensher, Heun, & Blanchard, 2003). Price and Chen (2003) summarized the main benefits of e-mentoring: (a) availability over a vast distance, (b) opportunity regardless of time and space, (c) guidance and support through online interaction, (d) the ability to contribute and share knowledge, (e) a collaborative learning experience between teachers and learners, and (f) the opportunity to choose communication methods that are suitable for use.
Besides its many benefits, e-mentoring also has some drawbacks. Adams and Crews (2004) argued that e-mentoring will be inefficient if participants involved in a project do not have enough technology skills to work online. Having similar communication and technology skills among participants is one major assumption in e-mentoring programs (Kasprisin & Single, 2005). Participants might also have difficulties in establishing an online relationship. Different personalities, motivations, involvements, and cultural values can impact the effectiveness of e-mentoring (Price & Chen, 2003). According to Johnson, Geroy, and Griego (1999), there are two critical forces that affect e-mentoring: the environment of the individuals and their relationships. Therefore, training for matched partners to establish and clarify their relationship is acknowledged as highly desirable (Kasprisin et al., 2003).
E-mentoring appears to have great potential for individuals with special needs because it can be used as an effective communication medium that provides an opportunity to provide academic and psychosocial support. Shpigelman et al. (2009) designed an e-mentoring intervention program to provide social and emotional support for youth with disabilities by mentors who also have disabilities. The findings of this qualitative study provided support for the potential of e-mentoring program for personal development and empowerment of this population. Burgstahler and Cronheim (2001) explored whether an online environment can be used to sustain peer–peer and mentor–mentee relationships and alleviate barriers to in-person communication faced by high school students with disabilities. Analysis of email messages exchanged between 49 high school students with disabilities and 35 adult mentors along with survey and focus group data suggested that peer and mentor support can reduce social isolation and help students with disabilities reach their social, academic, and career potential. To date, however, only a few researchers have addressed the phenomenon of e-mentoring in the field of gifted education (e.g., Siegle, 2003).
Gifted students possess cognitive superiority, creativity, and motivation, which significantly set them apart from the vast majority of their age peers and make it possible for them to contribute something of exceptional value to society (Hallahan, Kauffman, & Pullen, 2009). In this respect, mentorship can be a meaningful experience for them, offering the potential of a productive outcome that cannot be realized in a school setting. Moreover, gifted students need someone with expertise to maintain their interest. Age peers and average curriculum are not sufficient to realize their potential. Mentorship can be seen as a means of filling this void. When we consider the innovative nature of e-mentoring beyond the traditional model, it can be of great value as an effective service delivery approach for gifted students, allowing them to continue their skill development beyond the academic and social options available in schools.
The role of e-mentoring for gifted students is a worthwhile topic and may raise questions that lend themselves to both quantitative and qualitative methods to answer. Due to the dearth of research in this area, a case study approach is very important to explore the effects of e-mentoring on gifted students. In this study, the aim is to explore the academic and psychosocial outcomes of e-mentoring on gifted middle school students’ academic life. This article describes a case study of a group of five Turkish students who participated in a 3-week e-mentoring program. Collected data were analyzed and are discussed. Following the discussion, some conclusions and implications are presented.
Conceptual Framework
The theoretical approach for this e-mentoring program is based on Ng and Nicholas’s (2007) socially immersed online learning model. The model for the use of online technologies to meet the needs of gifted students is an adaptation of the online learning theories of Mayes (1995) and Garrison, Anderson, and Archer (2000). Garrison et al. referred to their online learning theory as a “community of inquiry.” The learning framework of these theories refers to the characteristics of gifted students such as being committed to the task, being curious, being motivated and intelligent, and being self-directed and responsible in the learning process. The online model proposed by Ng and Nicholas focuses on the creation of a “thinking” community in which social interactions with peers and a teacher play a crucial role in knowledge construction (Lipman, 1991; McConnell, 2000).
Theories of giftedness have increasingly acknowledged that the realization of the intellectual potential of gifted students depends in part upon “optimal” educational interventions (Robinson & Robinson, 1982) by which the motivation to learn, train, and practice is maintained (Gagné, 1995) and the social and emotional needs of students are met (Foster, 1983). Motivation refers to the intrinsic value (or interest) component. This component is about how much the students enjoy, like, or are interested in a particular activity (Eccles & Wigfield, 1995). The intrinsic value or interest is similar to the intrinsic motivation that refers to being motivated and curious to do an activity for its own sake (Harter, 1981; Ryan & Deci, 2000). Feldhusen and Hoover (1986) argued that maintaining motivation should be the goal of a gifted program, not a criterion by which an individual should be identified and selected for inclusion in that program. Hence, in this e-mentoring program we involved students who have high task commitment, but at the same time we aimed to allow the students to build self-efficacy and motivation.
The research questions that guided this study were as follows:
Method
Participants
Students in this research project were five (four male, one female) eighth-grade middle school students aged 13 and 14 years. The students were from two different gifted classes in a private middle school in Istanbul, Turkey. A score on the Turkish version of the Wechsler Intelligence Scale for Children (WISC-R; Turkish version, fourth edition published in 1998) of 130 is the minimum score for identification as gifted. The selection of students was based substantially on nominations of the mathematics teacher and the school psychologist. These students were high achievers in mathematics and science. Another basic criterion for choosing these students particularly was their proficiency with computers and ability to use web-based applications, programs, and services. Selected students participated in this study on a voluntary basis.
Tasks
The researchers and two mathematics teachers of gifted students worked together to select and design relevant tasks to be accomplished during the program. During this phase, we considered that gifted students crave challenging tasks (Stanley, 1991) and feel frustration and boredom with typical classroom tasks (Feldhusen & Kroll, 1991; House, 1987). Research reports that challenging tasks capitalize on students’ cognitive and metacognitive abilities and motivation (Betts & Neihart, 1986). The tasks were adapted from several resources including the textbook created by the school math teachers for gifted and creative students and the National Math Olympiad booklets prepared by the Scientific and Technological Research Council of Turkey (TUBİTAK, 2011).
We initially selected 20 different problems from different units. Because it would be difficult to work on geometrical shapes online, we discarded problems that would require more geometric representations. Nine problems remained, three of which were reserve problems. We planned to provide some preliminary information about each task and asked students if they felt comfortable enough to launch into the solution phase. We decided that a task for group work should lead students to have lively discussions that included both conflicts and cooperation. We paid attention to developing students’ evaluative and cognitive skills through using problem scenarios with real-life tasks. Table 1 shows some examples of group and individual tasks.
Examples of the Group and Individual Tasks.
Procedure
We agreed that a single measure was not sufficient to decide student participation in the e-mentoring program in mathematics. Therefore, for the student recruitment, we met with the mathematics teacher and school psychologist. They were knowledgeable about the development of a continuum of services recommended by Renzulli and Reis (1997) and had very broad and detailed knowledge about the students’ characteristics, strengths, and weaknesses. During four meetings spaced over approximately 2 weeks, we discussed and evaluated student participation.
When potential participants agreed to participate in the study, the content of the project was explained to them. The students were informed that their participation was voluntary and at the end, the researchers would interview them. Also, researchers explained that they could withdraw from the study or interview at any time without any penalty.
The first author mentored all five students throughout the project, which lasted for 3 weeks. During this time period, the mathematics teacher of the five gifted students, two professors, and one doctoral student in mathematics education observed and coached the process and gave suggestions for the kinds of advice and interaction that would provide effective mentoring.
At the beginning, the content of the project was clearly explained to the students. Fine and Sandstrom (1988) discussed three approaches of conducting observations among children. These approaches are “explicit cover,” “shallow cover,” and “deep cover.” We opted for the explicit cover approach with the participants. This approach occurs when the researcher is entirely frank about the research with the study group. We let the participants know that we were conducting research and that the focus of our inquiry was to see whether the project was efficacious.
In the 3-week period, there were three tasks for group work and three tasks for individual work. We directed questions and individual tasks via email. Students’ work on the group tasks was held via Google discussion forum and Skype, an online-chat program. At the end of each week, students wrote detailed blog notes. Their responses were focused on some specific questions such as “What have you learned from this week’s teamwork?” “What should be added in order to make the teamwork more interesting and beneficial?” and “What have you shared within your team and with your mentor?” During those 3 weeks, the mentor shared several questions, problems, and useful Internet sites and asked students to work on them collaboratively.
The collected data included logs, discussion board posts, emails, and interview recordings. Different types of data were analyzed in different ways. Logs and in-depth interviews were used to elicit the approaches and experiences of five participants. The participant students were asked to write logs at least once a week, but some students had more than three logs during the 3-week program. The first author conducted interviews with each student at the school campus. The interviews were based on the use of 20 semistructured, in-depth, and open-ended questions with probes to elicit participants’ feelings, thoughts, and opinions about the 3-week e-mentoring program. The interviews lasted 30 to 60 min. With the permission from the participants, all interviews were audiotaped.
Data Analysis
We did not begin with hypotheses; however, we had some questions and issues derived from the literature review that guided our investigation. These questions were (a) What are the academic and psychosocial effects of an e-mentoring program on gifted eighth graders’ learning? (b) How do students collaborate and interact with each other in an e-mentoring program? and (c) Does an e-mentoring program have an impact on students’ motivation?
To have a better understanding of students’ experiences and feelings about the program, we systematically analyzed the collected data. We first coded logs, interview texts, emails, and discussion board posts to enable an analysis of data segments on emerged themes. Logs and interviews were about students’ overall experiences, whereas emails and discussion board posts reflected the nature of problem solving, interaction, and cooperation. Microanalysis was used for the interviews to ensure that no key constructs and ideas were overlooked. Codes enhanced grouping each new idea and themes that were found to be conceptually similar in nature and related in meaning. The final step of our analysis was clustering and thematizing those constituents to provide a synthesis of the meanings and essences of students’ experiences.
The discussion board posts were coded through Soller’s (2001) Collaborative Learning Conversation Skill Taxonomy (CLCST). CLCST has been used to classify conversation skills in real-time online collaborative problem solving. In CLCST, there are three levels of conversation skills, ranging from the most general (Level 3) to the specific (Level 1). Each level includes different types of conversation skills. In Level 3, there are three types of conversation skills: Creative Conflict, Active Learning, and Conversation. Each of these three skills is further broken down into corresponding subskills at Level 2. For example, Active Learning includes three Level 2 behaviors: Motivate, Inform, and Request. Each Level 2 behavior subsumes more specific Level 1 behaviors. Table 2 shows a complete list of CLCST behaviors.
Modified Soller’s Taxonomy.
Source. Adapted from Soller’s (2001) Collaborative Learning Skills Taxonomy.
We used numerical data to be able to depict the nature of interaction and cooperation. Numerical data can sometimes be helpful to refine a description. Qualitative researchers are not averse to using them to enhance the descriptive power of words (Johnson & Johnson, 1990). It is useful to know the frequency of students’ contributions and the types of interactions over the 3-week period. Numerical descriptive data may also explain findings deduced from qualitative data. The numerical data about students’ posts are given in Table 3.
Frequency of Students’ Interaction Based on Soller’s Collaborative Learning Skills Taxonomy.
To enhance triangulation of the data and demonstrate links to research questions and findings, the different data sources were separated and the codings related to these data sources were included in data displays. The coding letters used in the data displays are as follows: L for logs, P for posts, E for emails, and I for interviews.
Findings and Discussion
Rather than sticking to the traditional approach in reporting our research, we preferred presenting the findings and discussion together. This integration helped us to work systematically by taking key findings one at a time and positioning them in dialogue with the literature. Three themes emerged from the analysis of the data sources. These themes were (a) motivation, (b) effective communication and supportive interaction, and (c) practicing as professionals. In the blog entries and interviews, the students repeatedly cited the motivational effect of the e-mentoring project. They especially emphasized the role that interactions and collaboration had on their motivation that further advanced them to success in the tasks. The findings revealed that e-mentoring provided an entertaining and cooperative learning environment for students in which they were treated as mathematicians solving realistic problems. Students’ work and engagement in the individual tasks were at an expected level, but group work was found to be more effective in students’ motivation and engagement.
Theme 1: Motivation
Motivation is one of the themes that emerged from the data. The students repeatedly underscored several factors that increased their interest and motivation. These factors can be grouped under three distinct categories, which are also critical aspects of the program: (a) mentor’s role, (b) online nature of e-mentoring, and (c) nature of tasks. The benefits of e-mentoring can be discussed in relation to these three categories. In other words, effectiveness depends on how these aspects are handled. To better refer to the aspects, we categorized the data and presented the findings under separate subtitles based on these critical aspects.
Mentor’s role
The students revealed that the approach that the mentor took when he orchestrated the communication and guided them in thinking, contributing, and doing mathematics was one important motivational factor. The importance of the mentor’s approach was reflected in the data from the logs and interviews. For example, Tufan (all names used here are pseudonyms) wrote, Our mentor provided us with explanatory information before each task. Instead of showing how to go step by step, he gave important clues during our work and allowed us to learn together through discussions. I think such clues were very helpful in our work. (L)
According to Alp, dividing the whole tasks into smaller parts enhanced their work on the tasks: It was easier to understand what is going on; we were able to see the [whole] structure with all its [interrelated] parts. Working in this way motivated me . . . I thought I not only did what I was supposed to do, but also I learnt how complex problems can be solved thanks to our teachers’ [mentors’] help. (I)
Kaya and Mehmet also stressed the same point and argued that they could easily focus on solving these particular parts of the final product. Mehmet said that “our mentor taught us how to solve whole tasks by considering them as a collection of tiny pieces. I think, otherwise, the task would be too complicated” (I). Kaya added, “After we completed a task, I turned back and saw many steps we passed through. Of course, it was not easier. But, our mentor’s help and friends’ [contributions] motivated me” (I).
Online nature of e-mentoring
The second major factor that had a strong motivational effect on the students is the online nature of e-mentoring. Kaya said, I do not like being forced by others into doing things; I like to be [involved in] doing something, especially if I am really interested and motivated. I loved to take part in this project when my teacher asked. I was very motivated, mostly because I was having an online experience. I realized that online learning is as interesting as other games, if there are interesting and instructive activities. (I)
Tufan stressed the same point as Kaya. Tufan pointed out that his parents allow him to use the computer for at most 2 hr. In these 2 hr, he is either playing computer games or chatting online with friends (L). He said that working on the project was very interesting (I). In the evenings, he preferred and enjoyed working on the project instead of spending time in other activities (I). In addition, Demet thought that online learning was a good and professional practice for students: In this project I felt like a math teacher. I used to prepare some presentations on my computer by using Internet sources before. But this was the first time that I did something important for my academic development [using the Internet]. (I)
Nature of tasks
The nature of the mathematical tasks selected for this e-mentoring program was found to be one of the three most frequently mentioned factors that motivated students. The students revealed that the tasks were challenging and were rooted in real-world experiences. They further indicated that the stories used in the tasks were interesting and stimulating.
Kaya and Demet underlined the differences between the tasks in this program compared with those they solve in regular classes. Kaya pointed out that he loves to solve complex problems that stimulate in-depth thinking (L, I). He said that this program gave him the opportunity to solve such problems (I). Demet underlined the same point, expressing that the tasks had the potential to lead her in thinking deeply about the multiple solution processes (I). This type of task attracted her attention more than the type of task she works on in regular class (I).
In the interview, Alp said, I do not enjoy solving easy problems, because you know what you are doing, and in each stage of your solution you see what you have expected before. But challenging problems with complex stories are not like that. It is like a puzzle, and you need to view it from different angles. I appreciate that the problems in this program were really challenging. They motivated me from the beginning to the end. (I)
He further revealed the challenging nature of the problems was an effective means that let him learn reasoning skills and effective problem-solving approaches (I). Tufan mentioned the challenging nature of the problems, as well (I, E, L), and indicated that these kinds of problems motivate them, develop their problem-solving skills, and help them excel in mathematics (L, I). He further commented on the stories that were part of the given tasks: “The problems were challenging and were given within the stories. The stories were interesting” (I).
Providing meaningful and real-world-related opportunities for gifted students is an essential means of meeting their learning needs. These opportunities have a potential to motivate them to achieve excellence. Embedding mathematical concepts or problem solving into interesting stories was found to increase student interest and motivation. This finding is supported by Baum, Cooper, and Neu (2001), indicating that the focus of the education on real-world experiences increase students’ motivation for learning.
Challenging tasks are very important, especially for gifted students’ mathematical learning (National Council of Teachers of Mathematics, 1998). Studies show that the challenging tasks trigger students’ high-level thinking and reasoning; thus, it facilitates their development of mathematical power as well as cognition (Henningsen & Stein, 1997). According to Lupkowski-Shoplik and Assouline (1994), students’ motivation increases while solving challenging tasks. Moreover, success in such tasks develops students’ self-esteem and self-efficacy (Bandura, Barbaranelli, Caprara, & Pastorelli, 1996).
To better motivate students and develop their self-esteem and self-efficacy through challenging tasks, instructors should be careful in guiding and directing students. This is the case too for a mentorship program. Daloz (1986) stated that in effective mentor–mentee relationships there should be a good balance of support and challenge. For instance, if a mentor is overly supportive without challenging mentees, the mentees do not grow professionally; however, challenging without providing a support may cause mentees to regress in their professional development. In this program, we aimed at balancing these two components and the findings revealed the program’s success in that sense. The role of the mentor was supportive and led students to successfully accomplish the tasks through effective communication and supportive interaction.
Theme 2: Effective Communication and Supportive Interaction
Numerical data
The number of posts to the discussion board can be considered as a way to observe the frequency of interactions. Table 3 shows the number of emails and messages sent to the discussion board. The total number of student posts to the discussion board was 334, excluding those that were just greetings and saying goodbye. Forty-four of these 334 were other off-task posts. The remaining 290 messages were coded based on Soller’s taxonomy. The language of all types was appropriate for a formal discussion environment. The content did not include any harassment, bullying, or provocations.
All students successfully completed the group and individual tasks. The number of emails indicates that the students and the mentor sent emails back and forth to complete the tasks. The mentor gave much feedback, and students were eager to ask and use this feedback through the problem-solving process. We did not observe any isolation or any other controlling behaviors during the group work.
Kaya was assigned as a group leader during the program. He sent 91 posts to the discussion board. This was the highest number among all students. In all three Level 3 categories, Kaya had the highest contribution to the group work. Although the mentor motivated the students during problem solving, Kaya too sent messages to reinforce and encourage group members. Mehmet also took similar responsibility in specific stages of problem solving. Mehmet’s contribution to the group discussions was at a high level. However, one interesting finding was that his interaction with the mentor in the individual tasks was more effective than other students’ interactions with the mentor. An evidenced in Table 3, Mehmet had the highest number of emails sent to the mentor over individual tasks. He asked questions to solve the tasks in more creative ways and had interesting approaches that he shared with the mentor and asked for the mentor’s thoughts and ideas. The number of Tufan’s posts to the discussion board was lowest (39). However, his contribution to the discussions and group work was very instructive and therefore valuable. We observed very effective creative conflict in student discussions. Observations and numerical data showed that the number of students’ posts that were coded under creative conflict was very high. The content of these posts was found to be meaningful and detailed. Some types of posts were rarely observed (e.g., Listening, Present, and Conciliate). One reason might be insufficient data due to the limited time of the e-mentoring program. Another reason might be that the CLCST was not developed for online interaction and might need further refinement.
Mentor’s role
In any case, teaching gifted students can be challenging for teachers. Teachers of gifted students usually point out that this experience can be both a joy and frustration. Mentoring, especially if it occurs in a virtual environment, becomes more complex than regular teaching, and the role of the e-mentor can be very demanding in terms of developing rapport and instilling trust in an online student group. Daloz (1999) set mentors apart from “regular teachers” (p. 21) and argued that mentors are more engaged and concerned with the individuality of their students.
Before the program, the researchers and the mentoring recommendation group (two university professors and one doctoral student in mathematics), as well as the school counselor and mathematics teachers, worked together toward the e-mentoring program goals related to students’ professional development and successful student outcomes. The group agreed that developing interpersonal and professional trust with mentees is a key element of a mentoring process in which each participant feels safe, confident, and appropriately challenged. Three weeks is a short time period to facilitate trust and openness, and to design and create appropriately challenging tasks. Therefore, the mentor visited the school several times and met with potential students who might participate in the program. During the student selection process and other visits, the school counselor arranged short meetings with these students so the mentor and students could get to know each other well. These meetings allowed the mentor to be supportive throughout the mentoring process and to create personal engagement with each student mentee.
During the e-mentoring process, the mentor used digital notes of encouragement and feedback such as questioning, giving praise, cognitive elaborations and explanations, pushing to explore, dialogue prompting, and scaffolding. He helped students to make conjectures, share their representations, reflect on their work, and make connections. Table 4 shows several examples of the feedback the mentor used in the individual and group tasks.
Examples of the Feedback That the Mentor Used in the Program.
Besides giving helpful feedback in particular stages of problem solving, the mentor also had a critical role in the initiation of collective decision making and problem solving at the very beginning of group tasks. After the students read the first task, they all expressed that they understood the problem. However, they were not able to start collective problem solving. The mentor suggested that the students start sharing how they understood the problem first. The students wrote briefly what they understood. In the early stage, the first few messages were not systematic. A lack of effective group functioning was observed. Three of the students were disposed to direct the group through their own ways of solution. The mentor intervened to avoid confusion in the discussion. He reminded them of team responsibilities and rules. He further suggested they discuss ideas one by one and try working on behalf of the team. Kaya was selected as a team leader. He suggested reading Demet’s thoughts first. Some of the students revealed that it was a critical turning point for the creation of a healthy discussion environment that persisted throughout the project (I, L).
It should be noted that there appeared to be some irrelevant and off-task messages, but the quantity of these kinds of messages was quite small. The mentor’s role was important in those situations. The students indicated that the mentor’s way of intervention was effective, making them focus on the solution.
The role of the mentor in a discussion was to guide students in an appropriate way. He gave some clues to encourage students to think about the solutions from different angles and guarantee that the discussion was related to the topic. Demet had a complaint about one issue. She argued that some important messages in a group discussion board remained unanswered. She gave her message as an example and underlined that she believed the message had important content. She suggested that if there was an unanswered message, the mentor should ask students to respond to it (L). Alp, Mehmet, and Tufan did not agree with this idea (L). They stressed that the present role of the mentor in the group work was appropriate and there was no need for further intervention. Mehmet wrote, “Since this was a teamwork, the flow of the discussion should be related with majority’s thought. Thus, there might be some unanswered messages. If others saw these messages as relevant, they would certainly discuss on them” (L). Tufan argued that further intervention of the mentor would reduce their engagement in the tasks (L). The mentor’s role in the project was to monitor the students and provide necessary support to engage them in the practice. The advisors who were monitoring the program agreed that the mentor should only take part where the confusion in a discussion forum occurred. Students’ success in group task completion shows that the role of the mentor in a discussion forum was supportive overall.
Students’ views
The students believed that this 3-week program was a good example of successful teamwork. They mentioned communication, interaction, harmony, and respect having major impacts on team success. Alp said, “We are members of a group, so we need to support each other to achieve our goal” (I). Demet and Tufan had similar comments. Mehmet expressed his thoughts as follows: We were informed that this study was designed to allow us to share our knowledge and to learn more about subjects we have seen at school. The knowledge of my friends who were real team players was important for this project. I have learned a lot from them. (I)
According to Demet, it would be difficult for them to solve these challenging tasks on their own: “We succeeded, because we were a team” (L, I). Alp shared his idea from a different perspective: “While sending messages [to the discussion board], I did not intend to criticize someone because of his/her meaningless solution, rather I tried to support their ideas, and clarify what they meant” (I).
Mehmet emphasized the importance of meaningful discussions while working on the tasks (L, I). He said that without the proper discussion environment they could not complete their missions (I). Tufan reported that In a class, while working as a team, it is very hard to have an agreement on a lot of issues . . . It is hard to organize a team to have members listening to each other. Actually, teachers appoint a team leader, but it does not change the confusion. We did not have such problem here. Comments were meaningful and directly related to problem. Thanks to organized discussions, we could complete all tasks more easily than we expected. (L)
Demet completed all individual tasks and made significant contributions to the solution of the group tasks. She pointed out that this was her first experience with online mentoring (L). She found it interesting and helpful (L, I). Demet described herself as a student who loves to learn from others (I). Her comment about the group work was as follows: The tasks were so interesting and challenging. All of us had different solutions. In the forum we presented our solutions and had discussions on them. I have read my friends’ blogs too. I have seen that we had different ways [of solving problems]. Their solutions helped me to understand the problems clearly and easily. (I)
The students indicated that using a virtual platform enhanced the quality of discussion (L, I, P). For example, Kaya explained, “While using the forum, we first read friends’ posts and then write comments.” He also added that group work in the regular class environment is different: “it is very hard to catch every single point because students talk [at the same time]” (I). Tufan reported that “the teamwork in this project was smooth and relevant; we were able to follow all previous messages in the board and also reply to whichever message we wanted” (L).
Quality of dialogue
Students worked in harmony. With only a few exceptions, they acted professionally and fairly while discussing one another’s arguments. For example, dialogue among the participants in “the bird and the train” task was very interesting. It shows how they collaboratively moved through the solution step by step (see Table 5). The mentor also gave guidance where misconception occurred.
Example to the Discussion Board Dialogue Among the Students.
Not only in this example, but also throughout all group tasks, it was observed that the students were advancing by having healthy dialogue with each other. This is consistent with the research findings that individuals facilitate each other’s learning through shared dialogue and negotiation (Bereiter, 1994; Brown & Campione, 1990; Vygotsky, 1962, 1978). Also, students’ attempts to clarify points were another way to share their ideas to establish a common meaning (Kuhn, 1993).
Two of the interview questions were “How did other members influence your participation to the group work?” and “Would it be better if you had the opportunity to choose the members with whom you worked? Why?” Students’ answers to these questions were similar. At the beginning of the project, the students indicated that they knew each other. Two of them were close friends. Alp’s comment to these questions was “The content of the forum was about our thoughts on mathematics. So, we did not need to have same ideas on each part. I do not think that being friends with members changes the quality of work” (I). Demet had a similar reaction: “I think the first feature of a participant to be selected into this project is his/her interest to mathematics. The major point is a participant interest. Otherwise, it wouldn’t work” (I). Tufan mentioned that in different courses they have classroom discussions on specific topics, most of which related to social issues. These topics drive students to share their own perspectives in the light of daily life problems. He said, “In such discussions I always want group members to be among my friends, but if the topic is related with mathematics, ‘being good at math’ becomes more important” (I).
Research shows that the relationship among community members is a very important factor for healthy group work. According to Donath (1999), “trust in the shared motivations and beliefs of the other participants is essential to the sense of community” (p. 31). In the group work within the e-mentoring program, trust becomes central to the development of a sense of shared community, too. Environments where the group members know each other well and feel safe encourage students and increase their involvement. However, as the students mentioned, this kind of environment is not seen as a necessary criterion for some specific domains. Axelrod (1990) argued that socializing and getting along with others is not always a necessity for successful cooperation.
Throughout the student discussions, we observed that they were eager to contribute to the teamwork toward successful completion of given tasks. They showed strong effort and great skill in cooperating with each other. They were respectful to the suggestions and critiques by group members. For instance, at the end of the solution of Group Task 3 Part 1, Mehmet explained his calculations and wrote his result (.12 mg). The answer was correct, and Mehmet was quite sure about that. Meanwhile, Kaya wrote that he was confused with one of the points in the previous discussion (P). Mehmet could insist upon his correct result and ignore the comment, but he provided explanation. For this age group, it looked like very genuine concern for each other.
Perhaps one reason behind the effectiveness of the e-mentoring program, especially in grouping these students, is the appropriateness of work for their characteristics and intelligence level. According to Benbow (1998), grouping gifted children has advantages for learning if the level of work is suitable to them. Moreover, providing challenging tasks enhances student cooperation in problem solving and knowledge construction. Working on challenging tasks, as discussed in the first theme, was also a factor in increased student motivation. From this point, we can argue that the factors that affected healthy cooperation might be correlated with student motivation too. Consequently, the researcher observations and interviews were consistent with each other regarding the point that student cooperation in the program was at an expected level and the reasons behind this result was the consideration of “norms, tasks, help giving, and group composition” (Blumenfeld, Marx, Soloway, & Krajcik, 1996, p. 38).
Theme 3: Practicing as Professionals
An idea of encouraging gifted students to work as professionals has become worthy in the field. Giving the participants the role of professionals was a core aim during the selection of the tasks and the organization of discussions. The findings revealed that treating students as experts and professionals had a positive influence on students’ engagement in the tasks. It was found that their motivation and the structure of group work were related to this factor. Kaya and Tufan provided examples of student comments about practicing as professionals. Kaya noted, “In this project we had an opportunity to work as a team of real mathematicians. We had time to think and discuss the problems thoroughly” (I). Tufan said, “Working on the given problem step by step increases my understanding of concepts and the content of the solution more. Also, this type of work sounds more professional” (L).
A follow-up interview question asked, “What differentiates this project from others that makes you feel yourself as professional mathematicians?” The students underscored different points. Kaya explained that in other environments where he worked within a team, he felt like he was treated as a kid—“smart kid”—but here not only the mentor, but also other group members “behaved different, like an adult or real mathematician” and he had an opportunity “to work as an important person” (I). Tufan thought that the online nature of the program was a key factor making him feel he was a professional. “We do not have an opportunity to have an online discussion in [regular] math class” he added (I). Demet noted, I know that math professors work on the projects which last a couple of weeks or months. Solving the problem in a minute is not interesting. I know that it is not realistic to have such tasks in schools. I like to work on challenging tasks like the ones here. I see myself as a member of the team of experts. (I)
The emphasis on this program was the community of mathematicians rather than a community of learners. It was observed that the students were able to find a way of working as a community. The communication among students was healthy and carried them to the solution via an organized path. Sheffield (1999) stated that mathematically gifted students have a range of abilities. We observed that the mathematically gifted students participating in this study were able to think analytically and were creative in solving problems. It was also observed that the quality of their suggestions and critiques during group work was higher than we would expect from their nongifted age peers. They were able to discuss issues from different perspectives like adult learners. These findings are supported in the literature. For example, in their study, Pelletier and Shore (2003) found that the way mathematically gifted students think about mathematics is similar to that of experts and professionals. Because of this similarity, in his Enrichment Triad Model Renzulli (1977) suggested the placement of students into the role of “practicing professionals.”
The findings showed that the students were more eager to work within a team rather than individually. The findings regarding the quality of the discussions during group tasks were consistent with Eckstein’s (2009) study. In the light of these findings, we can say that students’ high motivation in this e-mentoring program, especially in group tasks, and their strength in cooperation, respect for each other, and healthy dialogues in this supportive learning environment indicate that they had the intellectual and technological maturity to carry out such projects within an online learning community.
Limitations
One limitation of this study is that the findings do not reflect possible effects of participants’ characteristics. Collected data were not analyzed with respect to the effect of students’ characteristics and social relations on their interactions and engagement in e-mentoring. Including the effects of peer friendship, intergroup conflicts, and interpersonal relationships on possible psychosocial outcomes might help future studies to have more accurate findings and further insight in e-mentoring.
Conclusion and Implications
The findings provided good support for the conclusion that an e-mentoring program can indeed be a highly beneficial partnership and a rewarding experience for gifted students. The findings of this case study indicate that the students engaged in the e-mentoring program were able to maintain their perseverance to complete individual and group tasks. All students had efficient contribution to group tasks. A high rate of completion was also found in individual tasks.
Student motivation might be one reason for this high completion rate. A learning process requires that the learners find the motivation to continually extend the limits of their capabilities. In this respect, e-mentoring’s effect on motivation is crucial, and high motivation is a desirable goal for gifted education (Feldhusen & Hoover, 1986). The findings revealed that well-designed e-mentoring programs have a potential to create a supportive environment for gifted students who have skills and motivation that are “so advanced or divergent from the typical school resources that they need to be placed in situations where those resources are available” (Coleman & Cross, 2001, p. 325).
According to Roberts and Inman (2001), gifted students need special contact with others who have similar interests. Practices facilitating development include providing time to gifted students to learn with their peers of similar abilities, interest, and motivation, and engaging them in areas of their interest (Neihart, Reis, Robinson, & Moon, 2002). E-mentoring might have a potential to provide such an environment to gifted students with the guidance of mentors. Furthermore, the effective group work and healthy discussion environment were indicated as other outcomes that might be produced by efficient e-mentoring. Grouping gifted students has a positive impact on their achievement. Regrouping them for specific work options produces substantial academic gains (Rogers, 1991).
There are two important risks for gifted students during their social and psychological development (Neihart et al., 2002). One of these issues emerges because of a mismatch with educational environments that are not responsive to the pace and level of gifted students’ learning and thinking. Another occurs because of unsupportive social, school, or home environments (Reis & Renzulli, 2004). In this study, findings indicate that the students formed an efficient and interactive group and worked collaboratively. Therefore, it can be concluded that e-mentoring might be a proper solution for these risks, at least during afterschool times.
Further research that explores mentors’ experiences through a revised e-mentoring project conducted on a large sample of gifted students is needed. It is also recommended to examine mentors’ skills and the ways they are approaching their tasks, meeting the needs of their mentees, and developing relationships with mentees. Furthermore, the revised project should include a comprehensive technology that provides more interactive features to enhance participants’ contributions. In this respect, researchers should consider the software operating platform to be used and inclusion of online resources and curricula within the website. Blackboard and Moodle are examples to the course management systems that are widely used in the e-mentoring projects (Smith & Israel, 2010). These changes may enable researchers to shed more light on the effects of e-mentoring in the academic and psychosocial development of gifted students.
Footnotes
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors received no financial support for the research and/or authorship of this article.
