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Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
Zheng, Lanqin; Long, Miaolang; Niu, Jiayu; Zhong, Lu – International Journal of Computer-Supported Collaborative Learning, 2023
Learning engagement has gained increasing attention in the field of education. Previous studies have adopted conventional methods to analyze learning engagement, but these methods cannot provide timely feedback for learners. This study analyzed automated group learning engagement via deep neural network models in a computer-supported collaborative…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Automation
Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
Yifan Li; Anmin Liu; Runming Si; Leyan Liu; Qidong Zhao – Journal of Chemical Education, 2024
The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…
Descriptors: Internet, Automation, Undergraduate Study, College Science
Diego Airado-Rodri´guez; David Mun~oz de la Pen~a; Isabel Dura´n-Mera´s; Jaime Domi´nguez Manzano; Arsenio Mun~oz de la Pen~a – Journal of Chemical Education, 2022
In this paper, the development of an automatic assessor is presented, both in MATLAB and in Excel, for an analytical exercise. In particular, the emulation of an interlaboratory exercise, using the analytical determination of phosphorus in a dry detergent, carried out in the laboratory by different groups of students, was selected as a case of…
Descriptors: Electronic Learning, Chemistry, Evaluation Methods, Computer Assisted Instruction
Qi Wang; Shengquan Yu; Xiaofeng Wang – Journal of Educational Computing Research, 2024
Chinese as a second language (CSL) learning has attracted more attention and supporting learners with adaptive resources becomes difficult. Some online systems recommended pre-designed resources from existing databases while the resources could not match learners' context. Designing resources dynamically according to learners' needs could be a…
Descriptors: Second Language Learning, Chinese, College Students, Online Systems
Cámara-Arenas, Enrique; Tejedor-García, Cristian; Tomas-Vázquez, Cecilia Judith; Escudero-Mancebo, David – Language Learning & Technology, 2023
This study addresses the issue of automatic pronunciation assessment (APA) and its contribution to the teaching of second language (L2) pronunciation. Several attempts have been made at designing such systems, and some have proven operationally successful. However, the automatic assessment of the pronunciation of short words in segmental…
Descriptors: English (Second Language), Second Language Learning, Pronunciation, Pronunciation Instruction
Ren, Ran; Zhang, Jiansong; Jiang, Yi – Journal of Civil Engineering Education, 2021
Construction management education in the architecture, engineering, and construction (AEC) domain is increasingly challenged with managing limited resources while increasing instructors' teaching effectiveness and improving students' learning outcomes. To address this challenge, the authors proposed a new automated activity-on-node (AON)…
Descriptors: Construction Management, Educational Innovation, Grading, Automation
Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Li, Xu; Ouyang, Fan; Chen, WenZhi – Journal of Computing in Higher Education, 2022
Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students' characteristics within a group. But there are two dominant challenges…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Grouping (Instructional Purposes)
Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Veronika Timpe-Laughlin; Tetyana Sydorenko; Judit Dombi – Computer Assisted Language Learning, 2024
To examine the utility of spoken dialog systems (SDSs) for learning and low-stakes assessment, we administered the same role-play task in two different modalities to a group of 47 tertiary-level learners of English. Each participant completed the task in an SDS setting with a fully automated agent and engaged in the same task with a human…
Descriptors: Second Language Learning, In Person Learning, Standard Spoken Usage, Role Playing
Liang, Changhao; Majumdar, Rwitajit; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
Collaborative learning in the form of group work is becoming increasingly significant in education since interpersonal skills count in modern society. However, teachers often get overwhelmed by the logistics involved in conducting any group work. Valid support for executing and managing such activities in a timely and informed manner becomes…
Descriptors: Automation, Cooperative Learning, Grouping (Instructional Purposes), Computer Assisted Instruction