Assessing Learning DOI

B. Mairéad Pratschke

Springer briefs in education, Journal Year: 2024, Volume and Issue: unknown, P. 91 - 108

Published: Jan. 1, 2024

Language: Английский

Exploring the Integration of Artificial Intelligence into Special Education Teacher Preparation through the TPACK Framework DOI Creative Commons
Samantha R. Goldman, Adam Carreon, Sean J. Smith

et al.

Journal of Special Education Preparation, Journal Year: 2024, Volume and Issue: 4(2), P. 52 - 64

Published: Sept. 2, 2024

With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need will moving forward. In this article, we describe how can, should, be aligned to Technological Knowledge, Pedagogical Content Knowledge (TPACK) framework, as part special education teacher preparation. Additionally, explore implications on TPACK can integrated within each three components, specific tools that support aspect, guiding questions teacher-educators pre-service should using when considering AI. We provide with example activities they use their introduce integrate its curriculum, framed TPACK.

Language: Английский

Citations

1
Initial crisis leadership during COVID-19 higher education: a systematic review DOI Creative Commons
Joseph Crawford, Kerryn Butler‐Henderson, Karima Lalani

et al.

Technology Pedagogy and Education, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Oct. 15, 2024

The effect of the novel coronavirus pandemic (COVID-19) on higher education sector is profound. scholarly research COVID-19 effects in have largely focused presenting intra-period facts, often with poor contextualisation to broader evidence base. This manuscript draws first comprehensive systematic literature reviw database comprising 138 publications, Higher Education Database, provide a glance at six months crisis leadership responses sector. review aims consolidate learning and teaching between 1 January 2020 30 June share timely educational knowledge Through thematic analysis, authors identified key themes emerging literature: academic development, edtech, student experience, pedagogy, policy wellbeing. They found that there were consistencies across different disciplines jurisdictions, despite general lack interaction these manuscripts.

Language: Английский

Citations

1
Student use of generative AI as a composing process supplement: Concerns for intellectual property and academic honesty DOI
Emma Kostopolus

Computers & composition/Computers and composition, Journal Year: 2024, Volume and Issue: 75, P. 102894 - 102894

Published: Nov. 24, 2024

Language: Английский

Citations

1
A Taxonomy of AI-Based Assessment Educational Technologies DOI
Mahmoud Hammad, Mohammed Al-Refai,

Wafaa Musallam

et al.

Published: Aug. 13, 2024

Artificial Intelligence (AI) is increasingly applied across various domains, including education, where it enhances numerous aspects of the learning process, from course design to assessment. Despite its benefits in efficiency, scalability, and consistency, AI education different educational stages. This paper focuses on use assessment stage. To that end, this proposes a taxonomy AI-based learner technologies (EduTech) both research industrial perspectives. The provides comprehensive understanding identifies gaps field. Using PRISMA framework, we systematically review related papers tools.

Language: Английский

Citations

0
Assessing Learning DOI

B. Mairéad Pratschke

Springer briefs in education, Journal Year: 2024, Volume and Issue: unknown, P. 91 - 108

Published: Jan. 1, 2024

Language: Английский

Citations

0