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McCarthy, Kathryn S.; Watanabe, Micah; Dai, Jianmin; McNamara, Danielle S. – Journal of Research on Technology in Education, 2020
Computer-based learning environments (CBLEs) provide unprecedented opportunities for personalized learning at scale. One such system, iSTART (Interactive Strategy Training for Active Reading and Thinking) is an adaptive, game-based tutoring system for reading comprehension. This paper describes how efforts to increase personalized learning have…
Descriptors: Game Based Learning, Reading Comprehension, High School Students, Educational Technology
Choy, Doris; Wong, Angela F. L.; Gao, Ping – Journal of Research on Technology in Education, 2009
The purpose of the study is to explore student teachers' intentions and actions in technology integration in their classrooms. A postgraduate teacher education cohort of 118 Singapore student teachers participated in the study. The results suggested that student teachers in Singapore showed positive intentions to integrate technology to facilitate…
Descriptors: Student Teaching, Student Teachers, Technology Integration, Educational Technology
Sardone, Nancy B.; Devlin-Scherer, Roberta – Journal of Research on Technology in Education, 2010
Researchers conducted a mixed-methods study with 21 undergraduate university students majoring in education to determine their ability to recognize the motivational factors and 21st-century learning skills associated with digital games. Results suggest that students in the study were able to detect the learning skills embedded in games. The…
Descriptors: Student Motivation, Middle School Students, High School Students, Skill Development
Lainema, Timo; Lainema, Kirsi – Journal of Research on Technology in Education, 2008
The turbulent business environment requires business expertise from ever-larger personnel groups. The required business know-how is a combination of knowledge and several different skills, and it should provide the learners with an overall view of the functioning of a business organization as a whole. Moreover, while work is increasingly becoming…
Descriptors: Training Methods, Cooperation, Learning Strategies, Student Attitudes

Caskey, Micki M. – Journal of Research on Technology in Education, 2002
Explored student and parent attitudes toward school-based Internet use using an intergenerational approach that positioned 54 pairs of young adolescents and their parents as co-learners for simultaneous Internet instruction while another 51 pairs were given separate Internet instruction. Highlights include reliability measures, factor analysis,…
Descriptors: Adolescents, Analysis of Variance, Computer Assisted Instruction, Factor Analysis
Beyth-Marom, Ruth; Saporta, Kelly; Caspi, Avner – Journal of Research on Technology in Education, 2005
This study aimed to determine the factors that affect students' preferences regarding tutorial modes. A learning-habit inclinations questionnaire (LHIQ) was constructed and administered to 288 students. Factor analysis revealed four factors: "time management," "ease of access" to learning materials, "positive aspects of interaction," and "negative…
Descriptors: Teaching Methods, Interaction, Time Management, Foreign Countries

Wong, Chi Kuen – Journal of Research on Technology in Education, 2001
Investigates the effects of three formats of computer-based homework and paper-based homework, on the achievement, retention, attitudes, and time-on-task of lower secondary school students. Students who completed drill-and-practice homework scored higher on a test right after the treatment and 12 weeks later. Implications for how teachers can help…
Descriptors: Academic Achievement, Assignments, Comparative Analysis, Computer Assisted Instruction

Hargis, Jace – Journal of Research on Technology in Education, 2001
Discussion of using the Internet to learn science focuses on an online study that presented a constructivist and an objectivist format containing the same information and examined the effect on learning of variables that included age, gender, racial identity, attitude, aptitude, self-regulated learning, and self-efficacy. (Author/LRW)
Descriptors: Academic Aptitude, Age Differences, Computer Assisted Instruction, Constructivism (Learning)