標題: Titlebook: Recommender Systems for Technology Enhanced Learning; Research Trends and Nikos Manouselis,Hendrik Drachsler,Olga C. Santos Book 2014 Spri [打印本頁] 作者: Holter-monitor 時間: 2025-3-21 17:13
書目名稱Recommender Systems for Technology Enhanced Learning影響因子(影響力)
書目名稱Recommender Systems for Technology Enhanced Learning影響因子(影響力)學科排名
書目名稱Recommender Systems for Technology Enhanced Learning網(wǎng)絡公開度
書目名稱Recommender Systems for Technology Enhanced Learning網(wǎng)絡公開度學科排名
書目名稱Recommender Systems for Technology Enhanced Learning被引頻次
書目名稱Recommender Systems for Technology Enhanced Learning被引頻次學科排名
書目名稱Recommender Systems for Technology Enhanced Learning年度引用
書目名稱Recommender Systems for Technology Enhanced Learning年度引用學科排名
書目名稱Recommender Systems for Technology Enhanced Learning讀者反饋
書目名稱Recommender Systems for Technology Enhanced Learning讀者反饋學科排名
作者: cornucopia 時間: 2025-3-21 23:57
a journey and the discovery of new places through migration. It is about the search for home by homing away from the harsh environment of one’s birthplace. It is about the search for selfhood, the shaping, and reshaping of migratory experience by peeling off the old self for a new self to grow. It 作者: 小淡水魚 時間: 2025-3-22 02:38
Pythagoras Karampiperis,Antonis Koukourikos,Giannis Stoitsis a journey and the discovery of new places through migration. It is about the search for home by homing away from the harsh environment of one’s birthplace. It is about the search for selfhood, the shaping, and reshaping of migratory experience by peeling off the old self for a new self to grow. It 作者: 使增至最大 時間: 2025-3-22 05:42 作者: 烤架 時間: 2025-3-22 11:26
http://image.papertrans.cn/r/image/824131.jpg作者: Strength 時間: 2025-3-22 13:56
https://doi.org/10.1007/978-1-4939-0530-0Adaptive web systems; e-learning; experimental simulations; information retrieval; personalization; real-作者: 觀點 時間: 2025-3-22 20:04
978-1-4939-4656-3Springer Science+Business Media New York 2014作者: 加花粗鄙人 時間: 2025-3-23 00:18 作者: 墻壁 時間: 2025-3-23 02:33
Olga C. Santos,Jesus G. Boticario,ángeles Manjarrés-Riesco作者: 手銬 時間: 2025-3-23 07:38
Soude Fazeli,Hendrik Drachsler,Francis Brouns,Peter Sloep作者: alcohol-abuse 時間: 2025-3-23 11:43 作者: MARS 時間: 2025-3-23 17:22 作者: 植物群 時間: 2025-3-23 20:16 作者: Presbycusis 時間: 2025-3-24 01:44
Rory L. L. Sie,Bart Jan van Engelen,Marlies Bitter-Rijpkema,Peter B. Sloep作者: sperse 時間: 2025-3-24 03:17
Jan Petertonkoker,Wolfgang Reinhardt,Junaid Surve,Pragati Sureka作者: enflame 時間: 2025-3-24 09:15 作者: 售穴 時間: 2025-3-24 13:55 作者: phytochemicals 時間: 2025-3-24 18:15
ive methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated..978-1-4939-4656-3978-1-4939-0530-0作者: Vital-Signs 時間: 2025-3-24 20:08
A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systemsurces and techniques is provided, together with a discussion of their potential for the TEL domain in general and TEL recommender systems in particular. Results from highly related European projects are presented and discussed together with an analysis of prevailing challenges and preliminary soluti作者: Arteriography 時間: 2025-3-25 00:12 作者: 冒失 時間: 2025-3-25 06:14
Further Thoughts on Context-Aware Paper Recommendations for Educationle-dimensional recommendation; (2) recommendation from across different learning groups (with different pedagogical features and learning goals) is less effective than that from within the same learning groups, especially when collaborative filtering technique is applied.作者: 殘暴 時間: 2025-3-25 08:01 作者: condone 時間: 2025-3-25 15:23 作者: Permanent 時間: 2025-3-25 17:23
Two Recommending Strategies to Enhance Online Presence in Personal Learning Environmentsnown Analytical Hierarchical Process (AHP) method. The other one which has been tested on data coming from the prototype is based on the active user’s navigation stream and used a Kalman filter approach.作者: Mendicant 時間: 2025-3-25 20:01
Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystemion algorithms by combining graph-based algorithms. As proof of concept, the framework was effectively applied and evaluated to develop a cross-platform recommender system in a TEL ecosystem comprising Moodle as the Learning Management System, and MediaWiki customized as Learning Object Repository. 作者: 騷擾 時間: 2025-3-26 03:55 作者: 別名 時間: 2025-3-26 08:08 作者: CANON 時間: 2025-3-26 09:51 作者: corporate 時間: 2025-3-26 15:35
Book 2014ata that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated..作者: 罵人有污點 時間: 2025-3-26 18:10 作者: Budget 時間: 2025-3-26 21:14
Collaborative Filtering Recommendation of Educational Content in Social Environments Utilizing Senti While metrics based on access patterns and user behaviour produce interesting results, they do not take into account qualitative information, i.e. the actual opinion of a user that used the resource and whether or not he would propose it for use to other users. This is of particular importance on e作者: 阻止 時間: 2025-3-27 02:37
Towards Automated Evaluation of Learning Resources Inside Repositoriesty given by the members of the repository community. Although this strategy can be considered effective at some extent, the number of resources inside repositories tends to increase more rapidly than the number of evaluations given by this community, thus leaving several resources of the repository 作者: 愛社交 時間: 2025-3-27 08:54
A Survey on Linked Data and the Social Web as Facilitators for TEL Recommender Systems as part of TEL recommender systems to filter and recommend learning resources or peer learners according to user preferences and requirements. However, the suitability and scope of possible recommendations is fundamentally dependent on the quality and quantity of available data, for instance, metad作者: Radiculopathy 時間: 2025-3-27 12:18
The Learning Registry: Applying Social Metadata for Learning Resource Recommendations valuable for curating digital collections, is difficult to keep current or, in some cases, to obtain in the first place. Social metadata, paradata, usage data, and contextualized attention metadata all refer to data about . digital resources that can be harnessed for recommendations. To centralize 作者: DUST 時間: 2025-3-27 16:46 作者: 高調(diào) 時間: 2025-3-27 18:48
An Approach for an Affective Educational Recommendation Modelir ability to increase the performance of recommender systems in non-educational scenarios. In our work, we combine both research lines and describe the SAERS approach to model affective educational recommendations. This affective recommendation model has been initially validated with the applicatio作者: 蜈蚣 時間: 2025-3-27 22:53
The Case for Preference-Inconsistent Recommendationsnexploited: Learners prefer preference-consistent over preference-inconsistent information, a phenomenon called confirmation bias. This chapter attempts to introduce how recommender systems can be used to stimulate unbiased information selection, elaboration and unbiased evaluation. The principle of作者: bromide 時間: 2025-3-28 04:12
Further Thoughts on Context-Aware Paper Recommendations for Educationn. As such, we proposed the multidimensional recommendation techniques that consider (educational) context-aware information to inform and guide the system during the recommendation process. The contextual information includes both learner and paper features that can be extracted and learned during 作者: FID 時間: 2025-3-28 06:18
Towards a Social Trust-Aware Recommender for Teachersn order to develop their personal and professional skills. However, with the large number of learning resources produced every day, teachers need to find out what are the most suitable ones for them. In this paper, we introduce recommender systems as a potential solution to this. The setting is the 作者: Cardiac-Output 時間: 2025-3-28 13:19
ALEF: From Application to Platform for Adaptive Collaborative Learningon, learning tailored to students’ individual preferences, and collaboration. The range of Web 2.0 tools and features is constantly evolving, with focus on users and ways that enable users to socialize, share and work together on (user-generated) content. In this chapter we present ALEF—Adaptive Lea作者: STAT 時間: 2025-3-28 16:33
Two Recommending Strategies to Enhance Online Presence in Personal Learning EnvironmentsWeb-based Personal Learning Environments (PLE). A PLE is a set of services selected and customized by students. Among these services, resource (either digital or human) recommendation is a crucial one. Accordingly, this chapter describes a novel approach to supporting PLEs through recommendation ser作者: Goblet-Cells 時間: 2025-3-28 19:59
Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem their learning. Related work shows that recommendations in TEL can support learners and that in TEL ecosystems, learners do use different platforms. We therefore pursue the goal to enable recommendations across different platforms by exploiting the synergies between them to benefit learners. Howeve作者: 尾巴 時間: 2025-3-29 01:02 作者: Conducive 時間: 2025-3-29 04:41 作者: 阻塞 時間: 2025-3-29 08:55
An Approach for an Affective Educational Recommendation Modeln of the TORMES methodology to specific educational settings. We report 29 recommendations elicited in 12 scenarios by applying this methodology. Moreover, a UML formalized version of the recommendations model which can describe the recommendations elicited is presented in the paper.作者: 半圓鑿 時間: 2025-3-29 15:03
Book 2014actices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years..Recommendation methods, techniques and systems open an interesting new approach to facilitate and support lea作者: Cabg318 時間: 2025-3-29 16:38 作者: 爆米花 時間: 2025-3-29 22:28 作者: 言行自由 時間: 2025-3-30 02:48
Collaborative Filtering Recommendation of Educational Content in Social Environments Utilizing Sentipolarity of an associated text, to retrieve additional explicit information from user comments when a standard rating is missing and expand tried recommendation calculation with qualitative information based on the community’s opinion before proposing the resource to another user.作者: 詞匯記憶方法 時間: 2025-3-30 07:44
Towards Automated Evaluation of Learning Resources Inside Repositoriess point out the feasibility of achieving such goal which suggests that this method can be used as a starting point for the pursuit of automatically generation of internal quality information about resources inside repositories.作者: 時間等 時間: 2025-3-30 10:04 作者: 宇宙你 時間: 2025-3-30 16:04 作者: Triglyceride 時間: 2025-3-30 17:46
Welt: Alibaba, AliPay, Tencent, WeChat, WeChat Pay, QQ, u.v.m.?.Chinas Mobile E-Commerce und Mobile Payment.Chinas Millennials – die neuen Superkonsumenten.Wie ?New Retail“ die Handelswelt ver?ndern soll.Smart 978-3-658-18691-3978-3-658-18692-0作者: 吞下 時間: 2025-3-30 20:56
Atom,ensity and of various empirical systems of atomic radii (covalent, metallic, ionic) derived from the observed interatomic distances in molecules and solids, their polarizability and compressibility. Both covalent and ionic radii are shown to increase with the coordination number.作者: 物質(zhì) 時間: 2025-3-31 02:03
https://doi.org/10.1007/978-3-658-35695-8Organisationskommunikation; Public Relations; Public Value; Strategische Kommunikation; Gesellschaftlich作者: 無法治愈 時間: 2025-3-31 09:01
Book 2024 more usual analyses of top-down, state-directed programmes. Overall, the aim is to reconceptualize Middle Eastern, North African and Arab Gulf musical practices in their relationship to power and cultural diplomacy in order build a broader and pluri-dimensional account of these contentious relation
