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Chou, Chih-Yueh; Chang, Chun-Ho – Educational Technology & Society, 2021
Help-seeking is an important self-regulated learning strategy and skill for effective learning. Studies have found that some students have poor help-seeking behaviors and that this leads to poor learning performance. Some researchers have developed help-seeking regulation mechanisms to detect and regulate students' poor help-seeking behaviors.…
Descriptors: Help Seeking, Computer Assisted Instruction, Student Behavior, Technology Uses in Education
Mendoza, Dayra Fallad; Kerl, Elizabeth – Learning Assistance Review, 2021
In fall of 2017, the Center for Academic Program Support at the University of New Mexico revamped its Online Learning Assistant (OLA) Program, which focuses on embedding undergraduate peer tutors in multidisciplinary fully online courses. Students who had an OLA during the Spring 2020 and Fall 2020 semesters, were surveyed to better understand the…
Descriptors: Academic Support Services, Online Courses, Interdisciplinary Approach, Computer Assisted Instruction
Sikhakhane, Munyaradzi; Govender, Samantha; Maphalala, Mncedisi Christian – International Journal of Education and Practice, 2021
The aim of this paper was to explore teachers' perspectives on the importance of the computer as a tool for enhancement of effective teaching and learning. Current research indicates that the developed world is at vanguard in revealing most of this information much more than developing nations like South Africa. Taking cognizance of teachers'…
Descriptors: Foreign Countries, Teacher Attitudes, Computer Uses in Education, Pedagogical Content Knowledge
Hozak, Kurt – Journal of Education for Business, 2021
This article describes a web-based application that can be used to help teach linear programming (LP) using an active learning approach in business courses such as management science and decision analysis. The software asks 42 integrated questions that guide students in creating product mix models and performing related analysis in Excel with…
Descriptors: Computer Assisted Instruction, Computer Science Education, Programming, Computer Software
Webb, Rob; Watson, Duncan; Shepherd, Craig; Cook, Steve – Studies in Higher Education, 2021
Interest in the flipped classroom in higher education has burgeoned despite the literature revealing that the effects on assessment outcomes remain elusive. In this paper, we present the results of an empirical analysis designed to compare the impact on assessment outcomes of different approaches to the flipped classroom (didactic and…
Descriptors: Flipped Classroom, Higher Education, Educational Technology, Lecture Method
Tommasi, Francesco; Ceschi, Andrea; Weller, Joshua; Costantini, Arianna; Passaia, Giulia; Gostimir, Marija; Sartori, Riccardo – European Journal of Training and Development, 2021
Purpose: This paper aims to empirically compare the degree to which two technological interventions, based on the computer-supported collaborative learning (CSCL) and the technology acceptance model (TAM), were associated with a different incidence of financial biases. Design/methodology/approach: The study adopted a quasi-experimental research…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Money Management, Consumer Education
Tang, Julia S. Y.; Falkmer, Marita; Chen, Nigel T. M.; Bolte, Sven; Girdler, Sonya – Journal of Autism and Developmental Disorders, 2021
The study aims to develop and pilot a telehealth social emotional program, MindChip™ delivered with a computer based interventions (CBI) (Mind Reading©) for autistic adults. MindChip™ combined four theoretical perspectives and community feedback underpinning the essential mechanisms for targeting the social emotional understanding of autistic…
Descriptors: Telecommunications, Health Services, Program Development, Program Effectiveness
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Daniel Kania – ProQuest LLC, 2021
This study was conducted to compare the impact of technology-centered instructional methods on student performance in literacy to the impact of non-digital instructional practices. Additionally, this research was designed to identify specific program implementation measures used during the implementation of the prevailing instructional method and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Technology Integration, Academic Achievement
Curtis A. Buren – ProQuest LLC, 2021
The problem addressed by this study was that adults with learning disabilities have difficulty achieving academic success in online education programs using 3D imaging. As a result of their difficulty, many online instructors fail to develop a deep understanding of perceptions from students with different types of disabilities. Moreover,…
Descriptors: Adult Education, Learning Disabilities, Electronic Learning, Postsecondary Education
Yang Chen – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the rapid advancement of information technology, the Intelligent Teaching System (ITS) has emerged as a pivotal tool in mathematics education. This paper aims to evaluate the effectiveness of ITS by exploring its impact on personalized learning, increased student interaction and participation, intelligent assessment and feedback, teacher…
Descriptors: Learning Management Systems, Mathematics Education, Technology Uses in Education, Student Participation
Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
Bilal Saad Mayer – Discover Education, 2025
The transformative potential of Digital Informal Learning (DIL) is evident in fostering cross-cultural understanding, with a special focus on Arabic cultural education in this case. Drawing from the case of Learn Cultural Identity (LearnCuID) groups, which are informal online learning communities, the discussion highlights how digital platforms,…
Descriptors: Arabs, Information Technology, Transformative Learning, Self Concept
Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
Juliana do Amaral; Ladislao Salmerón; Davi Alves Oliveira – Journal of Computer Assisted Learning, 2025
Background: Misconceptions are unjustified beliefs about a topic. Nonetheless, they are pervasive among educational practitioners. Although the internet can be a powerful tool to learn and debunk misconceptions, their use requires competencies like navigating through search engine results pages (SERPs), evaluating the reliability of content, and…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Computer Assisted Instruction

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