Cultivation of Students’ Self-Study Ability in Computer and Classroom Teaching Mode
Bibliographic record
Abstract
Since the innovation of college English teaching, the cultivation of students’ self-study ability has become a target of the New Requirements for College English Teaching. As one of the country’s 180 experimental academies chosen by National Education Commission, our college adopts the teaching mode of combing classroom teaching and computer-based self-study system. Through the practice of students of grades 2004 and 2005, we can see that the comprehensive application ability of the students does not improve largely. Most students do not satisfy the oral English requirements of common standard. Their self-study ability is insufficient. In this paper, my opinion on how to cultivate students’ English self-study ability in the computer and classroom teaching mode will be given. Key words: computer and classroom teaching mode, self-study, metacognition, constructivism Résumé: Depuis la réforme de l’enseignement de l’anglais universitaire, la formation de la capacité d’apprendre par soi-même est déjà devenue un des objectifs du Programme. En tant qu’une des 180 écoles-pilotes élus par la Commission d’Etat de l’Education, notre école adopte le modèle d’enseignement combinant l’enseignement en classe et le système d’auto-apprentissage assité par l’ordinateur. La réalité des deux promotions 2004 et 2005 montre que l’élévation de la capacité d’application générale des élèves n’est pas sensible et que le niveau oral de la plupart des élèves ne répond pas à la demande générale. Les élèves sont peu aptes à apprendre par eux-mêmes. Dans l’article présent, l’auteur va présenter ses points de vue personnels sur la formation de la capacité d’auto-apprentissage de l’anglais des élèves, avec l’aide de l’ordinateur et le modèle d’enseignement en classe. Mots-clés: sur la base de l’ordinateur et l’enseignement en classe, auto-apprentissage, théorie de métacognition, théorie d’apprentissage constructiviste 摘 è¦ï¼šå¤§å¸è‹±èªžæ•™å¸æ”¹é©ä»¥ä¾†ï¼Œè‡ªä¸»å¸ç¿’能力的培養已æˆç‚ºã€Šèª²ç¨‹è¦æ±‚ã€‹çš„ç›®æ¨™ä¹‹ä¸€ã€‚æˆ‘æ ¡ä½œç‚ºå…¨åœ‹ 180 所國家教委é¸å®šçš„è©¦é»žé™¢æ ¡ä¹‹ä¸€ï¼Œæ•™å¸éŽç¨‹ä¸æŽ¡ç”¨äº†èª²å ‚æ•™å¸å’ŒåŸºæ–¼é›»è…¦è‡ªä¸»å¸ç¿’系統相çµåˆçš„æ•™å¸æ¨¡å¼ï¼› é€šéŽ 2004ç´šå’Œ 2005級兩屆å¸ç”Ÿçš„實è¸æ•™å¸ä¾†çœ‹ï¼Œå¸ç”Ÿçš„綜åˆæ‡‰ç”¨èƒ½åŠ›æ高的幅度ä¸å¤§ï¼Œå¤šæ•¸å¸ç”Ÿå£èªžè¡¨é” 能力還沒有é”到一般è¦æ±‚。自主å¸ç¿’èƒ½åŠ›è¼ƒå·®ã€‚æœ¬æ–‡åŸºæ–¼é›»è…¦å’Œèª²å ‚æ•™å¸ï¼Œå°å¦‚何培養å¸ç”Ÿçš„英語自主å¸ç¿’ 能力談一下自己粗淺的看法。 é—œéµè©žï¼š åŸºæ–¼é›»è…¦å’Œèª²å ‚æ•™å¸ï¼›è‡ªä¸»å¸ç¿’；元èªçŸ¥ç†è«–；建構主義å¸ç¿’ç†è«–
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".