Abstract
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The primary goal of the current study was to show the current state of the art of using artificial intelligence technologies and tools to support learning and teaching, improving learning outcomes. The study adopted a systematic literature review design to collect data that was analyzed thematically. Six themes, including improved feedback and assessments, learning and teaching, task administration, access to learning, academic writing and research, and personalized learning opportunities were identified from the review as positive benefits, and four themes, including ethical concerns, privacy and data security issues, technological limitations, and the risk of diminished creativity and critical thinking as negative benefits. When artificial intelligence tools and technologies are integrated into teaching and learning, the feedback and assessment mechanisms, teaching and learning processes, and task administration are greatly improved, leading to improved learning outcomes. Equally, integrating artificial intelligence tools and technologies into teaching and learning processes helps instructors meet the needs, interests, and preferences of learners, ultimately improving their learning outcomes. Institutions offering online courses can use artificial intelligence tools and technologies to recommend relevant courses to targeted students to meet their needs, interests, and preferences. Finally, artificial intelligence-driven solutions, including text generation, plagiarism detection, grammar checks, and artificial intelligence-driven data analysis help improve academic writing and research outcomes, and hence the learning outcomes. Future research should explore how the integration of AI in teaching and learning processes directly impacts the effectiveness of the learning institutions and learning outcomes. Furthermore, it should focus on how to maximize the positive benefits of artificial intelligence technologies and tools in teaching and learning processes to enhance learning outcomes.
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