Journal of Educational Computing Research

Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with media (CATLM) into a VR learning context and evaluated this model using a structural equation modeling (SEM) approach. Undergraduate students (n = 77) learned about the solar system in a VR environment over three sessions. Overall, the results supported the core principles and assumptions of CATLM in a VR context (CATLM-VR). In addition, the CATLM-VR model illustrated how immersive VR may impact learning. Specifically, immersion had an overall positive impact on user experience and motivation. However, the impact of immersion on cognitive load was uncertain, and that uncertainty made the final learning outcomes less predictable. Enhancing students’ motivation and cognitive engagement may more directly increase learning achievement than increasing the level of immersion and may be more universally applicable in VR instruction.

Self-regulated learning (SRL) is an important method in STEM courses that can help learners acquire knowledge by discovering, organizing, and integrating materials. However, learners may not perform well without scaffolding, which results in purely participation in tasks without solid knowledge acquisition. To guarantee SRL effectiveness, scaffolding that can support learners’ knowledge discovery, organization and integration is needed when curation is introduced to support high-level cognition in STEM courses focusing on these facets. The researchers analyzed the advantages and procedures of curation and developed a curation tool and a curation activity-based SRL mode. To verify the effects of the proposed tool and mode, 64 Grade 7 students were involved and assigned to the experimental and control groups and learned with specific tasks. The results revealed that the experimental group showed interest in the mode and achieved better learning outcomes. Learners in the experimental group also submitted higher-quality practical work that demonstrated the effectiveness of the mode. Moreover, this approach promoted deep thinking without increasing the learners’ cognitive load. Finally, this study provided an innovative scaffolding tool and mode for SRL that leveraged learners’ knowledge acquisition and task completion. This idea has positive implications for future SRL research.

Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these conceptual threads and gain insight into the operationalisation of abstraction, a systematic review of 96 empirical studies was undertaken. Analysis revealed that identifying features of entities, extracting relevant features, discovering patterns, creating rules and assembling the parts together were the core actions of abstraction. With the primary aim of simplifying practical procedures, abstraction was operationalised as the sophistication of a program, the matching of patterns, the creation of alternative representations, the transfer of solutions, the measurement of a learner’s activity and reading program codes. There is an obvious need for researchers to align the conceptual meanings they have established of abstraction with the practical facts of operationalisation. The need to empirically validate emerging models and the implications for future research are discussed.

Scratch, a kind of visual programming software, has been widely used in instruction for primary school children. Scratch constructs a digital world for children to design, develop, and create coursework in which their creative thinking is fostered. Different instructional methods have been designed and implemented to stimulate children’s creative thinking skills through their coursework. This study investigated whether scaffolding construction with mind mapping promoted children’s creative thinking in a Scratch course. Two groups of 84 fifth-grade pupils participated in the study. The experimental group of 44 students adopted the scaffolding construction with mind mapping in the Scratch course, while the control group of 40 students did not use the mind mapping method. The Torrance Tests of Creative Thinking-Figural (TTCT-F) and Torrance Creative Personality Self-Report Scale were used three times over the 16-week learning period. The results show that learning in the Scratch course promoted the children’s creative thinking. The difference between the two groups indicates that mind mapping was beneficial to improve the children’s creative thinking.

Collaborative concept mapping, as one of the widely used computer-supported collaborative learning (CSCL) modes, has been used to foster students’ meaning making, problem solving, and knowledge construction. Previous empirical research has used varied instructional scaffoldings and has reported different effects of those scaffoldings on collaboration. To further examine the effects of instructional scaffoldings, this research implements three different instructor participatory roles (i.e., cognitive contributor, group regulator, and social supporter) to support online collaborative concept mapping (CCM). We use multiple learning analytics methods to examine the group’s CCM processes from the social, cognitive, and metacognitive dimensions, supplemented with assessments of the concept maps. The research reveals different effects of three instructor participatory roles on the group’s collaborative behaviors, discourses, and performances. When the instructor engaged as a cognitive contributor, the student group achieved a lowly-interactive, low-level metacognitive engagement and behavior-oriented knowledge construction; when the instructor engaged as a group regulator, the student group achieved a socially-balanced, high-level metacognitive engagement and behavior-communication-interrelated knowledge construction; and when the instructor engaged as a social supporter, the student group achieved a highly-interactive, medium-level metacognitive engagement and communication-oriented knowledge construction. Based on the results, this research proposed pedagogical, analytical, and theoretical implications for future empirical research of CSCL.

With the spread of the Covid-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students’ performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must develop Self-Regulated Learning (SRL) strategies to monitor their learning in hybrid contexts. This study aimed to predict the achievement of 82 undergraduates enrolled in a hybrid English for Business Communication course using data mining techniques. While clustering techniques were used to understand SRL patterns through classifying students with similar SRL data into clusters, classification algorithms were utilized to predict students' achievement by integrating the log files and course engagement factors. Clustering results showed that the group with high SRL achieved higher grades than the groups with medium SRL and low SRL. Classification results revealed that log data and engagement activities successfully predicted students’ academic performance with more than 88% accuracy. Therefore, this study contributes to the literature of SRL and hybrid classrooms by interpreting the predictive power of log data, self-reports, and face-to-face engagement to predict students’ achievement, a relatively unexplored area. This study recommended practical implications to promote students’ SRL and achievement in hybrid environments.

The application of different virtual reality interventions has been recently gaining interest from researchers and practitioners. Due to the current COVID-19 pandemic, higher education institutions increased the use of these technologies to help create much value for educators and students. The relationship between individual experience and engagement in avatar-mediated environments has garnered empirical support, but still little is known about the mediating mechanisms underlying this relation. This study investigated the mediating role of interpersonal attraction (e.g., social, physical, and task attraction) in the link between individual experience and engagement in an avatar-mediated learning environment. A total of 112 participants (21–23 years; 73 male and 39 female) participated in online peer learning sessions in Second Life. After controlling for demographic covariates, the results showed that (1) individual experience was positively associated with students’ engagement; (2) social, physical, and task attraction was found to positively mediate the link between experience and engagement. The outcomes from this study provide valuable implications for promoting online learners’ engagement in avatar-mediated environments.

Virtual and immersive virtual reality, VR and iVR, provide flexible and engaging learning opportunities, such as virtual field trips (VFTs). Despite its growing popularity for education, understanding how iVR compared to non-immersive media influences learning is still challenged by mixed empirical results and a lack of longitudinal research. This study addresses these issues through an experiment in which undergraduate geoscience students attended two temporally separated VFT sessions through desktop virtual reality (dVR) or iVR, with their learning experience and outcomes measured after each session. Our results show higher levels of enjoyment and satisfaction as well as a stronger sense of spatial presence in iVR students in both VFTs compared to dVR students, but no improvement in learning outcomes in iVR compared to dVR. More importantly, we found that there exists a critical interaction between VR condition and repeated participation in VFTs indicating that longitudinal exposure to VFTs improves knowledge performance more when learning in iVR than through dVR. These results suggest that repeated use of iVR may be beneficial in sustaining students’ emotional engagement and compensating the initial deficiency in their objective learning outcomes compared to other less immersive technologies.

The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students’ behavioral patterns in pair programming. The participants of the study consist of 14 students, seven pairs enrolled in a Programming Languages course. The findings indicate that there are significant behavioral learning sequences. During the program development process, students hesitated to create an algorithm and to improve an existing one while proposing the next step. In addition, they constantly waited for approval. Collaborative behaviors such as giving and receiving feedback and helping other partners were less observed in females. In addition, significant sequential driver and navigator behaviors were presented. The findings of the study have important implications for instructors and designers when using a pair programming approach in teaching programming. In the future, programming instruction environments can be designed by considering the learner behaviors that are presented in this study.

The purpose of this study was to examine a gamified mobile application’s effect on students’ achievement, and whether the player types of the students predicted their achievement scores. A “pretest-posttest control group design” research was conducted with 65 undergraduate students taking a compulsory online course. In the study, a gamified mobile app was developed by the researchers and then applied within an online History I course. The results of the study showed no significant difference between the achievement scores of the Experimental Group and Control Group students. However, multiple linear regression analysis results showed that the Experimental Group’s students’ achievement scores were significantly predicted by the player types they used and their mobile app performance. It is argued, therefore, that this result underlines the importance of player type in designing effective mobile gamification apps for the purpose of learning. Suggestions for further studies are also provided.