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Martin, Kit; Horn, Michael; Wilensky, Uri – Informatics in Education, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Martin, Kit; Horn, Michael; Wilensky, Uri – Grantee Submission, 2020
This paper introduces constructivist dialogue mapping (CDM), a new type of concept mapping. CDM encodes what people learn during a non-goal directed learning activity. CDM is a practical means to outline the mini theories users fluidly construct as they explore open-ended learning environments. To demonstrate the method, in this paper we use CDM…
Descriptors: Concept Mapping, Constructivism (Learning), Learning Activities, Concept Formation
Alnasser, Suliman M. N. – SAGE Open, 2022
Recently, the integration of computer-based feedback (CBF) systems, as assistive tools for instructors, into EFL writing contexts has attracted researchers' attention. However, EFL learners' perceptions toward such tools' application remain under-investigated. Therefore, this study investigates EFL learners' perceptions toward integrating CBF into…
Descriptors: Foreign Countries, Feedback (Response), Writing Instruction, English (Second Language)
The White House, 2022
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world,…
Descriptors: Artificial Intelligence, Algorithms, Privacy, Information Security
Richard Correnti; Lindsay Clare Matsumura; Elaine Lin Wang; Diane Litman; Haoran Zhang – Grantee Submission, 2022
Recent reviews of automated writing evaluation systems indicate lack of uniformity in the purpose, design, and assessment of such systems. Our work lies at the nexus of critical themes arising from these reviews. We describe our work on eRevise, an automated writing evaluation system focused on elementary students' text-based evidence-use. eRevise…
Descriptors: Writing Evaluation, Feedback (Response), Automation, Elementary School Students
Rebecca Red Wolf; Andrew B. Wolf – Online Learning, 2023
Nursing education is transitioning from traditional teaching to competency-based education. Additionally, more nursing courses and programs are now offered online. Scholarly writing is a powerful strategy to teach effective communication and critical thinking, both core competencies for safe and effective nursing practice. However, teaching…
Descriptors: Artificial Intelligence, Course Evaluation, Competency Based Education, Online Courses
Development of a Computer Program for the Identification Key to Insect Orders (Arthropoda: Hexapoda)
Aydin, Gökhan; Duran, Volkan; Mertol, Hüseyin – International Journal of Curriculum and Instruction, 2021
This study aims to develop a computer program for the identification key to insect orders (Arthropoda: Hexapoda) and to investigate its effectiveness as teaching material. Secondly, this study is aiming at whether this program improves students' computational thinking skills or not longitudinal quasi-experimental design. Firstly, the study is…
Descriptors: Computer Software, Identification, Entomology, Computation
Riegel, Kimberly – Physics Teacher, 2021
Laboratory report assignments for non-major and introductory classes can be challenging because the students are unfamiliar with the type of technical writing required and the subject matter. These issues for the student make the grading for the instructor difficult and time consuming. Determining the level of detail to require, the format, and…
Descriptors: Acoustics, Electronics, Design, Automation
Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
Zhe Zhang; Ling Xu – Journal of Multilingual and Multicultural Development, 2024
Aided by big-data technology and artificial intelligence, automated writing evaluation (AWE) systems aim to help students engage in self-regulated learning and improve their academic writing in the digital era. While much research on student engagement with AWE systems has been conducted in mainstream classrooms, little attention has been paid to…
Descriptors: Learner Engagement, Feedback (Response), Automation, Student Evaluation
Yoonkyeong Bae; YeonJoo Jung – English Teaching, 2024
With technological advancements, Automated Writing Evaluation (AWE) has garnered increasing interest in L2 writing research, significantly enhancing our understanding of AWE tools' practices and efficacy in L2 writing instruction. However, the relationships between feedback types (teacher vs. AWE) and different dimensions of engagement (cognitive…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Writing (Composition)
Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
Tran, Tich Phuoc; Meacheam, David – IEEE Transactions on Learning Technologies, 2020
The use of learning management systems (LMSs) for learning and knowledge sharing has accelerated quickly both in education and corporate worlds. Despite the benefits brought by LMSs, the current systems still face significant challenges, including the lack of automation in generating quiz questions and managing courses. Over the past decade, more…
Descriptors: Integrated Learning Systems, Test Construction, Test Items, Automation
Cropley, Arthur – Creativity Research Journal, 2020
Increasing digitization and robotization and the resulting cyber-physical systems (CPSs) are leading to an era in which artificial intelligence (AI) is becoming increasingly prominent in our lives. Making the best use of AI in engineering and technology will require not just practical and technical knowledge and skills but "creatively-focused…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Creativity
Ivanova, Malinka – Informatics in Education, 2020
eLearning is fast progressing scientific field proposing novel and specific approaches in a range of domains. It is well established practice in universities, schools and organizations for delivering interactive, adaptive and flexible training, taking advantage of contemporary and emerging technologies. Informatics is a continuously evolving…
Descriptors: Electronic Learning, Learning Analytics, Automation, Information Systems

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