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The Role of Blackboard-Based Reasoning and Visual Analytics in RESIN's Predictive Analysis

Dingxiang Liu, Jia Yue, Xiaoyu Wang, Anita Raja, William Ribarsky
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
This paper significantly extends our previous work on a mixedinitiative agent by making it capable of assisting humans in foraging task analysis using AI blackboard-based reasoning, visualizations and  ...  a mix-initiative user interface.  ...  This work was sponsored by the National Visualization and Analytics Center (NVAC) under the auspices of the Southeastern Regional Visualization and Analytics Center. NVAC is a U.S.  ... 
doi:10.1109/wiiat.2008.307 dblp:conf/iat/LiuYWRR08 fatcat:xvntp7djzzf5pes3zhg54jtgue

Using Ensemble Learning Algorithms to Predict Student Failure and Enabling Customized Educational Paths

Lassaad K. Smirani, Hanaa A. Yamani, Leila Jamel Menzli, Jihane A. Boulahia, Chenxi Huang
2022 Scientific Programming  
This paper proposes a Stacked Generalization for Failure Prediction (SGFP) model to improve students' results.  ...  In fact, the model relies on high-quality training and testing datasets that are collected automatically from the analytic reports of the Blackboard Learning Management System (i.e., analytic for learn  ...  authors used the root mean square error (RMSE) to evaluate the model performance. e prediction result of stacking compared to the three classifiers was better.  ... 
doi:10.1155/2022/3805235 fatcat:4n6qzhwetvgppetospajwsmdzi

Investigating Learner Attitudes toward a Collaborative E-Learning System

Shu-sheng Liaw, Hsiu-mei Huang
2006 2006 10th International Conference on Computer Supported Cooperative Work in Design  
In this study, 424 university students use the Blackboard system and answer a questionnaire after using it for two months.  ...  The results demonstrate male students have more positive e-learning attitudes than female students do, computer related experience is a significant predictor on learners' self-efficacy and motivation toward  ...  This research builds a multiple approach to examine individual attitudes toward the Blackboard that includes gender difference, computer related experience, perceived self-efficacy, and perceived motivation  ... 
doi:10.1109/cscwd.2006.253038 dblp:conf/cscwd/LiawH06 fatcat:aebht5z2mvfvznfufh62hsk5ua

Using Learning Analytics to Support the Enhancement of Teaching and Learning in Higher Education

:: National Forum For The Enhancement Of Teaching And Learning In Higher Education
2017 Figshare  
Acknowledgements The Forum would like to express its sincere gratitude to the staff and students across the sector who shared their thoughts and experiences to contribute to our better understanding of learning analytics  ...  Predictive analytics Systems that use a predictive approach are based on models drawn from historic data to identify relationships and correlations between a given set of data and a subsequent outcome.  ...  Through detailed variables (Blackboard data, demographic data and continuous assessment), mixed mode clustering and a prediction method of BART (Bayesian Additive Regressive Trees), we were able to predict  ... 
doi:10.6084/m9.figshare.5427091 fatcat:l4ea4paim5hcfg6tyo2xv7ysxu

The perception of blackboard collaborate-based instruction by EFL majors/teachers amid COVID-19: A case study of Saudi universities

Ayman Farid KHAFAGA
2021 Journal of Language and Linguistic Studies  
This paper investigates the perception of using Blackboard Collaborate-based Instruction (BCI) by Saudi EFL majors and teachers during the crisis of COVID-19 pandemic.  ...  Two methodological instruments are used to collect data: the first is electronic questionnaires to test both students' and teachers' attitudinal perception towards the use of Blackboard in the learning  ...  This positive perception reflects a successful experiment in e-learning and predicts a complete shift towards a comprehensive digital learning in the near future.  ... 
doi:10.17263/jlls.904145 fatcat:lbyq2jhq3bddng25fugiupvxpa

Using Learning Analytics to Support the Enhancement of Teaching and Learning in Higher Education

:: National Forum For The Enhancement Of Teaching And Learning In Higher Education
2017 Figshare  
Acknowledgements The Forum would like to express its sincere gratitude to the staff and students across the sector who shared their thoughts and experiences to contribute to our better understanding of learning analytics  ...  Predictive analytics Systems that use a predictive approach are based on models drawn from historic data to identify relationships and correlations between a given set of data and a subsequent outcome.  ...  Through detailed variables (Blackboard data, demographic data and continuous assessment), mixed mode clustering and a prediction method of BART (Bayesian Additive Regressive Trees), we were able to predict  ... 
doi:10.6084/m9.figshare.5427091.v1 fatcat:hmds4arhivbzjea55qjepick4u

Social CRM Analytics Model on Malaysian Institutes of Higher Learning (IHLs)

Azhar Hamid, Raja Mohd Tariqi Raja Lope Ahmad, Suziyanti Majudi, Wan Azlan Wan Hassan, Wan Hassan Basri Wan Ismail, Roziyani Setik, Muhammad Hashim
2018 2018 3rd Technology Innovation Management and Engineering Science International Conference (TIMES-iCON)  
the student learning experience by predictive analytics, to improve learning outcomes for the students and the society.  ...  an evidenced-based Learning Analytics (LA) model to employ big data for the benefit of their students, researcher build this novel but practical, step by step framework.  ...  The Construction and Validation of a Business Intelligence Model to Enhance Learning Analytics in Higher Education Institutes  ... 
doi:10.1109/times-icon.2018.8621834 fatcat:psymn3bznjbsxeryops5nobwvq

Stability and Sensitivity of Learning Analytics based Prediction Models

Dirk Tempelaar, Bart Rienties, Bas Giesbers
2015 Proceedings of the 7th International Conference on Computer Supported Education  
In this follow-up study of previous research (Tempelaar, Rienties, and Giesbers, 2015) , we focus on the issues of stability and sensitivity of Learning Analytics (LA) based prediction models.  ...  Do predictions models stay intact, when the instructional context is repeated in a new cohort of students, and do predictions models indeed change, when relevant aspects of the instructional context are  ...  ACKNOWLEDGEMENTS The project reported here has been supported and co-financed by SURF-foundation as part of the Learning Analytics Stimulus program.  ... 
doi:10.5220/0005497001560166 dblp:conf/csedu/TempelaarRG15 fatcat:joxjsf2d2beqth35jqzjlhtkee

Academic Buoyancy As A Predicator Of The Prince Sattam Bin Abdul-Aziz University Students' Attitudes Towards Using The Blackboard System In E-Learning

Majed Ali Alsharidah Mohamed Sayed Abdellatif
2021 Zenodo  
The researchers utilized the descriptive-analytic research approach.  ...  Results revealed that academic buoyancy contributed to predicting students' attitudes towards using the Blackboard system and that there was a positive correlative relationship between academic buoyancy  ...  Materials and Methods In light of the study objectives and hypotheses, the researchers utilized the descriptive-analytical research approach, specifically the predictive correlative method to shed light  ... 
doi:10.5281/zenodo.4408552 fatcat:fronoonjzbeijkautgzjgnnhn4

Critically Analyzing the Online Classroom: Blackboard, Moodle, Canvas, and the Pedagogy They Produce

J. D. Swerzenski
2021 Journal of Communication Pedagogy  
Rather than present a deterministic look at teaching technology, this study calls for closer examination of these tools in order to rework teaching technologies toward critical ends.  ...  , Moodle, and Canvas—support a transmission model of education at the expense of critical learning goals.  ...  By analyzing LMS affordances such as permission settings, learning analytics, grading tools, and other functions, I demonstrate how these teaching technologies ultimately promote a transmission approach  ... 
doi:10.31446/jcp.2021.1.05 fatcat:ndtacfc6ynhvpjoanbvmratlmy

E-Learning Theories, Components, and Cloud Computing-Based Learning Platforms

Vikas Kumar, Deepika Sharma
2021 International Journal of Web-Based Learning and Teaching Technologies  
The work is targeted to form a basis for the development and implementation of successful e-learning tools using the cloud-based platforms.  ...  With a number of embedded features, cloud computing technology-based platforms can deliver the convenience and flexibility in learning environment to compliment the traditional learning pedagogies.  ...  Learning moves from a Tayloristic or behavioristic linear model towards a more constructivist approach.  ... 
doi:10.4018/ijwltt.20210501.oa1 fatcat:lxibil33ava5pa4wd2yfii6r6i

A blackboard based perspective of reactive scheduling [chapter]

E. Szelke, G. Markus
1995 IFIP Advances in Information and Communication Technology  
For this, the blackboard system of ESU incorporates a cognitive model of operator functions, normative to supervisory behavior in dynamic discrete manufacturing environment, and a responsive blackboard  ...  Reactive scheduling as a constraint-based opportunistic problem solving process is performed by the system's case and rule-based reasoning knowledge sources as cooperative multi-agents and also takes into  ...  Acknowledgment Research in the national project has been supported by a grant (No. T 4119) of the Hungarian Scientific Research Founds over the period of 1991-1994.  ... 
doi:10.1007/978-0-387-34928-2_6 fatcat:oozzyug7izadzlgnvhsxdpxyjm

Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction

Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich
2016 2016 49th Hawaii International Conference on System Sciences (HICSS)  
We present the conceptual architecture of a mixed-initiative visual analytics system (MIVAS) and the five key components that make up MIVASs (data wrangling, alternative discovery and comparison, parametric  ...  Existing surveys in visual analytics focus on the importance of the topic. However, many do not discuss the increasingly critical area of mixed-initiative systems.  ...  Predictive Analytics Surveys Predictive analytics attempts to identify future events based on previous observations using different machine learning algorithms [27] .  ... 
doi:10.1109/hicss.2016.181 dblp:conf/hicss/MakoninMSTP16 fatcat:5vo2aolwnbfadpop5d7hqpjcxm

LMS Course Design As Learning Analytics Variable

John Fritz
2016 International Conference on Learning Analytics and Knowledge  
engineering effective course redesign practices, which may be one of the most scalable forms of analytics-based interventions an institution can pursue.  ...  In this paper, I describe a plausible approach to operationalizing existing definitions of learning management system (LMS) course design from the research literature, to better understand instructor impact  ...  Additionally, Blackboard has developed a compelling predictive risk model based on this combination of student activity and course design to derive a student "engagement" indicator that is reflected in  ... 
dblp:conf/lak/Fritz16 fatcat:yrkmutwpvbdotommnwdzmje4ea

The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage

Christy M. K. Cheung, Moez Limayem
2005 International Conference on Information Systems  
Our main argument is that as individuals get into the habit of continuously using a system, the predictive power of intention will be diluted.  ...  The research model is tested in a longitudinal setting and the results present strong support to the hypotheses.  ...  Acknowledgments The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. CityU 1267/04H].  ... 
dblp:conf/icis/CheungL05 fatcat:liw6yq2si5auxahadu42wmidgi
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