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The Impact of personalized learning Path Design on Online Education Platforms on Students’Self-learning Abilities

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Education and Teaching Research

Education and Teaching Research 2024年第2期2卷 59-65页

作者： Zhang Yinlei Hengshui University China

The study investigates the impact of personalized learning path design on students’self-learning abilities(SLA)within online education *** a mixed-methods approach,the research examines the effectiveness of personalized learning through quantitative surveys and qualitative interviews with a diverse sample of online *** findings indicate that personalized learning path design significantly enhances students’self-efficacy,engagement,and satisfaction,leading to improved *** study’s conceptual model and empirical data support the hypothesis that personalization in learning environments fosters self-directed learning *** discussion highlights the implications for educational practice,emphasizing the need for online platforms to prioritize personalization and for educators to adapt their teaching methods to support diverse learner *** research also acknowledges limitations and suggests future directions,including longitudinal studies and expanded participant *** study concludes that personalized learning path design is a promising strategy for online education platforms to empower learners and promote lifelong learning skills.

关键词： personalized learning Online Education Platforms Self-learning Abilities Learner Engagement Self-Efficacy learning Path Design Mixed-Methods Research Educational Technology Adaptive learning Learner-Centered Education

Pedagogical Alignment of Large Language Models (LLM) for personalized learning: A Survey, Trends and Challenges

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Journal of Intelligent learning Systems and Applications 2024年第4期16卷 448-480页

作者： Mahefa Abel Razafinirina William Germain Dimbisoa Thomas Mahatody School of Computer Science University of Fianarantsoa Fianarantsoa Madagascar

This survey paper investigates how personalized learning offered by Large Language Models (LLMs) could transform educational experiences. We explore Knowledge Editing Techniques (KME), which guarantee that LLMs maintain current knowledge and are essential for providing accurate and up-to-date information. The datasets analyzed in this article are intended to evaluate LLM performance on educational tasks, such as error correction and question answering. We acknowledge the limitations of LLMs while highlighting their fundamental educational capabilities in writing, math, programming, and reasoning. We also explore two promising system architectures: a Mixture-of-Experts (MoE) framework and a unified LLM approach, for LLM-based education. The MoE approach makes use of specialized LLMs under the direction of a central controller for various subjects. We also discuss the use of LLMs for individualized feedback and their possibility in content creation, including the creation of videos, quizzes, and plans. In our final section, we discuss the difficulties and potential solutions for incorporating LLMs into educational systems, highlighting the importance of factual accuracy, reducing bias, and fostering critical thinking abilities. The purpose of this survey is to show the promise of LLMs as well as the issues that still need to be resolved in order to facilitate their responsible and successful integration into the educational ecosystem.

关键词： Chain of Thought Education IA LLM Machine learning NLP personalized learning Prompt Optimization Video Generation

The Process of personalized learning Based on Flipped Classroom

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Sino-US English Teaching 2017年第4期14卷 233-238页

作者： ZHANG Fan FENG Shu-xiong Central South University of Forestry & Technology Hunan China Hunan Normal University Hunan China

The new teaching mode of flipped classroom plays an important role in college English teaching reform in China. personalized learning can be realized by flipped classroom. Firstly, selection and production of the teaching content before class is very important. Secondly, the organization of teaching activities in class should be well prepared. At last, the realization of combining personalized evaluation and integrity evaluation system is a vital issue for teachers to consider.

关键词： personalized learning flipped classroom micro-video evaluation system

Exercise Recommendation with Preferences and Expectations Based on Ability Computation

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Computers, Materials & Continua 2023年第10期77卷 263-284页

作者： Mengjuan Li Lei Niu Faculty of Artificial Intelligence in Education Central China Normal UniversityWuhan430079China

In the era of artificial intelligence,cognitive computing,based on cognitive science;and supported by machine learning and big data,brings personalization into every corner of our social *** systems are essential applications of cognitive computing in educational *** help learners personalize their learning better by computing student and exercise characteristics using data generated from relevant learning *** paper introduces a learning and Forgetting Convolutional Knowledge Tracking Exercise Recommendation model(LFCKT-ER).First,the model computes students’ability to understand each knowledge concept,and the learning progress of each knowledge concept,and the model consider their forgetting behavior during learning ***,students’learning stage preferences are combined with filtering the exercises that meet their learning progress and *** students’ability is used to evaluate whether their expectations of the difficulty of the exercises are ***,the model filters the exercises that best match students’expectations again by students’***,we use a simulated annealing optimization algorithm to assemble a set of exercises with the highest *** the experimental results,the LFCKT-ER model can better meet students’personalized learning needs and is more accurate than other exercise recommendation systems under various metrics on real online education public datasets.

关键词： Cognitive computing personalized learning forgetting behavior exercise recommendation

personalized course generation and evolution based on genetic algorithms

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第12期13卷 909-917页

作者： Xiao-hong TAN Rui-min SHEN Yan WANG Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200030 China E-learning Lab Shanghai Jiao Tong University Shanghai 200030 China

Online learners are individuals,and their learning abilities,knowledge,and learning performance differ substantially and are ever *** individual characteristics pose considerable challenges to online learning *** this paper,we propose an online course generation and evolution approach based on genetic algorithms to provide personalized *** courses generated consider not only the difficulty level of a concept and the time spent by an individual learner on the concept,but also the changing learning performance of the individual learner during the learning *** present a layered topological sort algorithm,which converges towards an optimal solution while considering multiple *** general approach makes use of the stochastic convergence of genetic *** results show that the proposed algorithm is superior to the free browsing learning mode typically enabled by online learning environments because of the precise selection of learning content relevant to the individual learner,which results in good learning performance.

关键词： Genetic algorithm Course generation Course evolution personalized learning Domain ontology

Enhancing personalized exercise recommendation with student and exercise portraits

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Journal of Electronic Science and Technology 2024年第2期22卷 91-109页

作者： Wei-Wei Gao Hui-Fang Ma Yan Zhao Jing Wang Quan-Hong Tian College of Computer Science and Engineering Northwest Normal UniversityLanzhou730070China Computer Center of Gansu Province Lanzhou730070China

The exercise recommendation system is emerging as a promising application in online learning scenarios,providing personalized recommendations to assist students with explicit learning *** solutions generally follow a collaborative filtering paradigm,while the implicit connections between students(exercises)have been largely *** this study,we aim to propose an exercise recommendation paradigm that can reveal the latent connections between student-student(exercise-exercise).Specifically,a new framework was proposed,namely personalized exercise recommendation with student and exercise portraits(PERP).It consists of three sequential and interdependent modules:Collaborative student exercise graph(CSEG)construction,joint random walk,and recommendation list ***,CSEG is created as a unified heterogeneous graph with students’response behaviors and student(exercise)***,a joint random walk to take full advantage of the spectral properties of nearly uncoupled Markov chains is performed on CSEG,which allows for full exploration of both similar exercises that students have finished and connections between students(exercises)with similar ***,we propose to optimize the recommendation list to obtain different exercise *** analyses of two public datasets,the results demonstrated that PERP can satisfy novelty,accuracy,and diversity.

关键词： Educational data mining Exercise recommend Joint random walk Nearly uncoupled Markov chains Optimization personalized learning

Time to Rethink:Educating for a Technology-Transformed World

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ECNU Review of Education 2023年第2期6卷 189-214页

作者： G.Williamson McDiarmid 赵勇 University of North Carolina Chapel Hill East China Normal University University of Kansas University of Melbourne

Purpose:We hope to provoke a conversation about preparing students for an uncertain future that unforeseeable technological innovations will transform in ways we cannot *** unprecedented disruption caused by the COVID-19 pandemic makes this an opportune time to reconsiderall dimensions of ***/Approach/Methods:We present information on how technology is transforming virtually every aspect of our lives and the threats we face from social media,climate change,and growing *** then analyze the adequacy of proposals for teaching new skills,such as 2Ist-Century Skills,to prepare students for a world of work that is changing at warp ***:Despite harbingers of a radically different future,most schools continue to operate much as they have for centuries,providing a one-size-fits-all *** now enables an unprecedented degree of *** can tailor learning opportunities to individual students'interests,talents,and potential with teachers serving as guides,resources,and critical *** Internet afford a cornucopia of learning opportunities-online courses,international experts,global collaborations,accessible databases,and *** can occur virtually ***/Value:The future depends on decisions we are making today about *** value of this article is that we call for rethinking every component of education rather than considering each element independently.

关键词： personalized learning reform technological change 21st-Century Skills

Revisiting Educational Issues in the Age of Generative Artificial Intelligence

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Journal of Contemporary Educational Research 2024年第1期8卷 159-164页

作者： Zhengyu Yang Faculty of Mathematics Hangzhou Normal UniversityHangzhou 311121Zhejiang ProvinceChina

The emergence of generative artificial intelligence(AI)has had a huge impact on all areas of life,including the field of *** can assist teachers in cultivating talents and promoting personalized learning and teaching,but it also prevents individuals from thinking independently and *** the era of generative AI,the rapid development of technology and its significant impact on the field of education are *** are many educational issues related to it,such as teaching methods,student training goals,teaching philosophy and purposes,and other educational issues,that require re-conceptualization and review.

关键词： Generative artificial intelligence Educational philosophy Training objectives Creative thinking personalized learning

ChatGPT:The New Trend of Smart Education

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Journal of Contemporary Educational Research 2023年第12期7卷 35-46页

作者： Jianxin Wang Hongke Xu Yuzheng Zheng Chaoen Xiao Lei Zhang Hanlin Chen Xin Chen Beijing Electronic Science and Technology Institute Beijing 100070China

In response to the limitations of the traditional education and teaching model,this article proposes a smart education model based on *** model actively breaks the constraint of time and space and the design patterns of traditional education,providing smart education services including personalized learning,smart tutoring and evaluation,educational content creation support,and education big data *** constructing an open and inclusive learning space and creating flexible and diverse educational models,ChatGPT can help to meet students’individuality and overall development,as well as assist teachers in keeping up with the students’learning performance and developmental requirements in *** provides an important basis for optimizing teaching content,offering personalized and accurate cultivation,and planning the development path of students.

关键词： ChatGPT Smart education personalized learning Education big data analysis