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ERIC Number: EJ1405761
Record Type: Journal
Publication Date: 2024
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: N/A
Artificial Intelligence (AI)-Enhanced Learning Analytics (LA) for Supporting Career Decisions: Advantages and Challenges from User Perspective
Education and Information Technologies, v29 n1 p297-322 2024
Artificial intelligence (AI) and learning analytics (LA) tools are increasingly implemented as decision support for learners and professionals. However, their affordances for guidance purposes have yet to be examined. In this paper, we investigated advantages and challenges of AI-enhanced LA tool for supporting career decisions from the user perspective. Participants (N = 106) interacted with the AI-enhanced LA tool and responded to open-ended questionnaire questions. Content analysis was utilized for the data analysis applying two distinct and robust frameworks: technology acceptance model (TAM) and career decision-making model (CDM) as well as looking into user needs. Results indicate that the AI-enhanced LA tool provided five main benefits to the users: provision of career information, research and analysis of the information, diversification of ideas on possible career paths, providing direction and decision support, and self-reflection. The participants perceived the AI-enhanced LA tool as a supportive asset to be used in transitional life situations characterized with uncertainty. Considerable use difficulties were reported as well as need for further diversification of ideas on possible career paths, need for personalization and self-reflection support, and need for further information. Results regarding perceived support for making career decisions showed that CDM elements were unequally supported by the AI-enhanced LA tool. Most support was focused to investigate smaller number of provided options and make decisions, while contextual information was lacking. Implications for career decision making are discussed.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A