Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Journal of Educational… | 10 |
Author
Craig, Scotty D. | 3 |
Amresh, Ashish | 1 |
Azevedo, Roger | 1 |
Bansal, Ajay | 1 |
Chiou, Erin K. | 1 |
Colley, Ann M. | 1 |
Erwin, T. Dary | 1 |
Guthrie, John T. | 1 |
Gökoglu, Seyfullah | 1 |
Houle, Philip A. | 1 |
Huang, Wen | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 10 |
Numerical/Quantitative Data | 1 |
Speeches/Meeting Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 5 |
Audience
Researchers | 1 |
Location
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Computer Attitude Scale | 2 |
Bem Sex Role Inventory | 1 |
Kirton Adaption Innovation… | 1 |
What Works Clearinghouse Rating
Verma, Vipin; Craig, Scotty D.; Levy, Roy; Bansal, Ajay; Amresh, Ashish – Journal of Educational Computing Research, 2022
Detection and responding to a player's affect are important for serious games. A method for this purpose was tested within Chem-o-crypt, a game that teaches chemical equation balancing. The game automatically detects boredom, flow, and frustration using the Affdex SDK from Affectiva. The sensed affective state is then used to adapt the game play…
Descriptors: Psychological Patterns, Game Based Learning, Media Adaptation, Learner Engagement
Schroeder, Noah L.; Chiou, Erin K.; Siegle, Robert F.; Craig, Scotty D. – Journal of Educational Computing Research, 2023
Virtual humans are on-screen characters that are often embedded in learning technologies to deliver educational content. Little research has investigated how virtual humans can be used to correct common misconceptions. In this study, we explored how different types of narrative structures, refutation text and expository text, influence perceptions…
Descriptors: Robotics, Computer Simulation, Educational Technology, Error Correction
Umapathy, Karthikeyan; Ritzhaupt, Albert D.; Xu, Zhen – Journal of Educational Computing Research, 2020
The purpose of this research was to examine college students' conceptions of learning computer science and approaches to learning computer science and to examine the relationships among these two important constructs and possible moderating factors. Student data (N = 193) were collected using the conceptions of learning computer science and the…
Descriptors: Computer Science Education, Prior Learning, Learning Motivation, Programming
Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
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…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
Moos, Daniel C. – Journal of Educational Computing Research, 2011
Think-aloud and self-report data from 65 undergraduates were used to examine the effect of feedback on self-regulation during learning with hypermedia. Participants, randomly assigned to one of three conditions (Control, Questions, Questions+Feedback), used hypermedia for 30 minutes to learn about the circulatory system. Results indicated that…
Descriptors: Feedback (Response), Self Efficacy, Protocol Analysis, Prior Learning
Azevedo, Roger; Guthrie, John T.; Seibert, Diane – Journal of Educational Computing Research, 2004
This study examines the role of self-regulated learning (SRL) in facilitating students' shifts to more sophisticated mental models of the circulatory system as indicated by both performance and process data. We began with Winne and colleagues' information processing model of SRL (Winne, 2001; Winne & Hadwin, 1998) and used it to examine how…
Descriptors: Prior Learning, Pretests Posttests, Undergraduate Students, Memory

Erwin, T. Dary; Nelson, Randall B. – Journal of Educational Computing Research, 1986
Describes development of a causal model to test effects of scholastic ability, computing attitudes, and computing background of university undergraduates on use of a computer-assisted instructional system, PLATO-LDEC; on attitudes toward PLATO-LDEC; on computing attitudes after students' PLATO-LDEC experience; and on course grade. (Author/MBR)
Descriptors: Academic Ability, Computer Assisted Instruction, Courseware, Engineering Education

Colley, Ann M.; And Others – Journal of Educational Computing Research, 1994
Describes a study of undergraduates conducted at the University of Leicester (England) that examined the effect of prior experience and gender stereotyping on computer anxiety, confidence, and liking. Experience with home computers and evidence of same-sex role modeling within families are discussed, and additional research is suggested. (Contains…
Descriptors: Analysis of Covariance, Computer Anxiety, Computer Attitudes, Correlation

Houle, Philip A. – Journal of Educational Computing Research, 1996
Describes a study that examined various characteristics of undergraduate students enrolled in a computer skills course. Variables considered include gender, college major, high school computer courses, other prior computer experience, computer self-efficacy, computer attitude, computer anxiety, and cognitive style. (Author/LRW)
Descriptors: Cognitive Style, Comparative Analysis, Computer Anxiety, Computer Attitudes