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Jennifer Kidd; Kristie Gutierrez; Min Jung Lee; Danielle Rhemer; Pilar Pazos; Krishna Kaipa; Stacie Ringleb; Orlando Ayala – International Journal of Technology and Design Education, 2025
Due to mandates for the inclusion of engineering and computer science standards for K-6 schools nationwide, there is a need to understand how teacher educators can help develop preservice teachers' (PSTs') teaching self-efficacy in these areas. To provide experience teaching and learning engineering and coding, PSTs in an instructional technology…
Descriptors: Robotics, Coding, Computer Science Education, Engineering Education
Edmund Pickering; Clancy Schuller – Journal of Academic Ethics, 2025
Online tools are increasingly being used by students to cheat. File-sharing and homework-helper websites offer to aid students in their studies, but are vulnerable to misuse, and are increasingly reported as a major source of academic misconduct. Chegg.com is the largest such website. Despite this, there is little public information about the use…
Descriptors: Foreign Countries, Higher Education, Engineering Education, College Students
Jihae Suh; Kyuhan Lee; Jaehwan Lee – Education and Information Technologies, 2025
Artificial Intelligence (AI) has rapidly emerged as a powerful tool with the potential to enhance learning environments. However, effective use of new technologies in education requires a good understanding of the technology and good design for its use. Generative AI such as ChatGPT requires particularly well-designed instructions due to its ease…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Technology Uses in Education
Daniel Lupiya Mpolomoka – Pedagogical Research, 2025
Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Literature Reviews
Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
Clara Rispler; Michal Mashiach Eizenberg; Gila Yakov – Journal of Teaching and Learning for Graduate Employability, 2025
As artificial intelligence (AI) transforms workplaces, understanding how future graduates engage with AI technologies is crucial for enhancing employability. This study investigates higher education students' familiarity with and perceptions of generative artificial intelligence (GenAI) in their learning. Using the Technology Acceptance Model…
Descriptors: Foreign Countries, College Students, Student Surveys, Online Surveys
Oi-Lam Ng – For the Learning of Mathematics, 2025
This essay extends beyond the characteristics and discourse of word problems to, more generally, school mathematical problem-solving and the implications entailed by a predominant paper-and-pencil mode of learning and instruction since the modern era of education. Contrasting what I call "one-handed" (with paper-and-pencil) with…
Descriptors: Thinking Skills, Computation, Problem Solving, Mathematics Education
Jerolyn Brown; Tian Luo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: Despite increasing access to technology, persistent disparities in digital competence and self-efficacy remain among marginalized pre-service teachers, often exacerbated by systemic inequities and the digital divide. This research explores the gap in knowledge of the lived experiences of marginalized pre-service teachers' (PST) prior…
Descriptors: Preservice Teachers, Access to Computers, Disadvantaged, Student Attitudes
Peng Chen; Rong Wang; Xiaoyi Chen – Education and Information Technologies, 2025
Collaborative learning is a widely used teaching model in programming education. A deeper understanding of the roles and behavior patterns within collaborative learning could improve its performance. In this study, an emergent role configuration and behavioral pattern are analyzed using audio and video data from 10 groups in a 7th-grade…
Descriptors: Middle School Students, Cooperative Learning, Behavior Patterns, Programming
Nagihan Kadioglu; Özge Özyalçin Oskay – Pedagogical Research, 2025
The aim of this study was to determine the effect of Mobile AR (MAR) supported Flipped Learning Model (FLM) applications on the academic achievement of first year undergraduate students in General Chemistry Laboratory course and to investigate the students' views on MAR supported FLM. In the study carried out with a quasi-experimental design with…
Descriptors: Flipped Classroom, Chemistry, Science Laboratories, Science Experiments
Roxana Nicol Poblete Inostroza; José Antonio Langarita Adiego; Soledad Martínez Labrín – Sex Education: Sexuality, Society and Learning, 2025
Over the last decade, various provisions have been enshrined in law to encourage the implementation of Information and Communication Technology (ICT) and Comprehensive sexuality Education in Chilean schools. However, it is unknown whether appropriate steps have been taken to advance the right to sex and sexuality education, incorporating the use…
Descriptors: Foreign Countries, Social Media, Internet, Pornography
Nathaniel Owen; Ananda Senel – Review of Education, 2025
Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…
Descriptors: Accountability, High Stakes Tests, Language Tests, Computer Assisted Testing
Umberto Dello Iacono; George Santi – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we report on a study involving third-year undergraduate mathematics students who were taking a course in Mathematics Education. The participants, prospective teachers, discussed typical misconceptions in mathematics. They first worked in Moodle environment communicating in small groups and with the whole class using Quick Chat…
Descriptors: Learning Management Systems, Student Attitudes, Mathematics Education, Misconceptions
Sun-Joo Cho; Goodwin Amanda; Jorge Salas; Sophia Mueller – Grantee Submission, 2025
This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…
Descriptors: Item Response Theory, Artificial Intelligence, Statistical Analysis, Predictor Variables
Andrea Juncos; Michael Collins, Contributor; Alessandro Conway, Contributor; Kristina Francis, Contributor; Tiffany Hsieh, Contributor; Max Milder, Contributor; Alex Swartsel, Contributor – Jobs for the Future, 2025
Artificial intelligence (AI) is evolving rapidly, transforming how people learn, work, and live on an unprecedented scale. Jobs for the Future (JFF) believes that AI has the potential to accelerate economic advancement for everyone--but only if it is intentionally designed to do so. As AI transforms society, this population-specific spotlight…
Descriptors: Artificial Intelligence, Blacks, Labor Force Development, Innovation

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