TRAINING AND READS

Training and educational materials

MENHIR is a Research and Innovation Staff Exchange (RISE) project. The RISE programme represents a unique opportunity for individuals to expand their horizons, enlarge their networks, receive innovative research training and develop new career opportunities.

Thus, one of the main dimensions of MENHIR is training doctoral researchers, post-doctoral fellows as well as technicians, managerial and administrative staff in the multiple disciplines involved, which include information and communication technologies, psychology and cognitive science, conversational systems, user and conversation modelling, knowledge representation, storage and annotation, and cross-modal analysis.

The training materials developed within MENHIR are shared here openly for anybody who is interested in these topics.

Conversational systems for mental e-health

The materials presented in this section have been generated for the MENHIR 2020 Summer Doctoral School. You can find all the details in the Doctoral School website.

https://youtu.be/mheapFTw6lM

Open Educational resources

MENHIR Scientific publications, videos and slides

You can find our scientific publications in the dissemination section, and videos and slides at the end of the downloads section.

Training events organized by MENHIR

Internacional Doctoral Summer School in Conversational Systems

Registration is now open for the Internacional Doctoral Summer School in Conversational Systems for Health Applications that will take place in the beutiful Carmen de la Victoria (Granada, Spain) from 31st August to 3rd September 2022. The school provides a platform for getting to know and discuss current approaches and research streams in the field …

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MENHIR International Doctoral Summer School in Conversational Systems for Mental e-health

Dates: 5-9 October 2020 Web: https://menhir-project.eu/index.php/summer-school-home/ The summer school on Conversational Systems for Mental e-health aims to provide innovative training for early stage researchers ​ (ESR) ​ in the application of conversational systems to the e-health and wellbeing domains​ . The school is mainly targeting postgraduate students (PhD and master), but it is also open …

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Training on Open Educational Resources

Zoraida Callejas has participated as lecturer in the course “Digital Educational Resources in the Universitary Context”, as part of the Plan for Teacher Training and Innovation of the University of Granada. She has described Creative Common (CC) licences, explained how to search for CC multimedia resources, and how to use them. She has also introduced …

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Fería de las ingenierías

MENHIR inspiring scientific and technological vocations

Our colleague David Griol from University of Granada (UGR) has participated today in the event Feria de las Ingenierías, organized by UGR to develop scientific and technological vocations in middle and high school students. The students have visited different schools at UGR related to science and technology studies, where they have been engaged in different …

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RTTHSS2019: Summer School on Speech Technologies

María Inés Torres (UPV) will give a lecture on VoiceBots in the RTTH Summer School 2019 (RTTHSS2019). The school is sponsored by the Spanish Red Temática en Tecnologías del Habla (RTTH) and organized by the Speech and Natural Language Technologies Department of Vicomtech. The RTTHSS2019 will take place in Donostia-San Sebastián (Spain), from July 2nd to July 5th …

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Reading list

We have a Zotero group to share interesting papers, books, and web pages related to MENHIR topics. The contents of the group are public and listed below. You can also check them here.

If you want to know about the publications produced within MENHIR, please check the dissemination section or subscribe to our newsletter.

Neviarouskaya, A., & Aono, M. (5555). Sentiment Word Relations with Affect, Judgment, and Appreciation. IEEE Transactions on Affective Computing, 99(1), 1. https://doi.org/10.1109/T-AFFC.2013.31
Neviarouskaya, A., & Aono, M. (5555). Sentiment Word Relations with Affect, Judgment, and Appreciation. IEEE Transactions on Affective Computing, 99(1), 1. https://doi.org/10.1109/T-AFFC.2013.31
Miner, A. S., Shah, N., Bullock, K. D., Arnow, B. A., Bailenson, J., & Hancock, J. (2019). Key Considerations for Incorporating Conversational AI in Psychotherapy. Frontiers in Psychiatry, 10, 746. https://doi.org/10.3389/fpsyt.2019.00746
Burr, C., & Morley, J. (2019). Empowerment or Engagement? Digital Health Technologies for Mental Healthcare. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3393534
Abdulrahman, A., & Richards, D. (2019). Modelling Therapeutic Alliance using a User-aware Explainable Embodied Conversational Agent to Promote Treatment Adherence. Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents - IVA ’19, 248–251. https://doi.org/10.1145/3308532.3329413
Dyrberg, N. R., & Holmegaard, H. T. (2019). Motivational patterns in STEM education: a self-determination perspective on first year courses. Research in Science and Technological Education, 37(1), 90–109.
Chung, J. Y., & Lee, S. (2019). Dropout early warning systems for high school students using machine learning. Children and Youth Services Review, 96, 346–353.
Vila, D., Cisneros, S., Granda, P., & Ortega, C. (2019). Detection of Desertion Patterns in University Students Using Data Mining Techniques: A Case Study. In M. Botto-Tobar, G. Pizarro, M. Zúñiga-Prieto, M. D’Armas, & M. Z. Sánchez (Eds.), Technology Trends. CITT 2018. Communications in Computer and Information Science. Springer, Cham (Vol. 895, pp. 420–429). Springer, Cham.
Inkster, B., Sarda, S., & Subramanian, V. (2018). An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. JMIR MHealth and UHealth, 6(11), e12106. https://doi.org/10.2196/12106
Torous, J., Wisniewski, H., Liu, G., & Keshavan, M. (2018). Mental Health Mobile Phone App Usage, Concerns, and Benefits Among Psychiatric Outpatients: Comparative Survey Study. JMIR Mental Health, 5(4), e11715. https://doi.org/10.2196/11715
Vila-Matas, E. (2018). Mac y su contratiempo (Edición: 001). DEBOLSILLO.
Sánchez-Cruz, J.-J., de Ruiter, I., Jiménez-Moleón, J. J., García, L., & Sánchez, M.-J. (2018). Stabilization and reversal of child obesity in Andalusia using objective anthropometric measures by socioeconomic status. BMC Pediatrics, 18(1), 322. https://doi.org/10.1186/s12887-018-1295-4
Ramakrishna, A., Greer, T., Atkins, D., & Narayanan, S. (2018). Computational Modeling of Conversational Humor in Psychotherapy. Interspeech 2018, 2344–2348. https://doi.org/10.21437/Interspeech.2018-1583
Morris, R. R., Kouddous, K., Kshirsagar, R., & Schueller, S. M. (2018). Towards an Artificially Empathic Conversational Agent for Mental Health Applications: System Design and User Perceptions. Journal of Medical Internet Research, 20(6), e10148. https://doi.org/10.2196/10148
Xu, Y. J., & Webber, K. L. (2018). College Student Retention on a Racially Diverse Campus: A Theoretically Guided Reality Check. Journal of College Student Retention: Research, Theory & Practice, 20(1), 2–28. https://doi.org/10.1177/1521025116643325
Dallacker, M., Hertwig, R., & Mata, J. (2018). The frequency of family meals and nutritional health in children: a meta-analysis: Family meals and children’s health. Obesity Reviews, 19(5), 638–653. https://doi.org/10.1111/obr.12659
Martinez-Martin, N., & Kreitmair, K. (2018). Ethical Issues for Direct-to-Consumer Digital Psychotherapy Apps: Addressing Accountability, Data Protection, and Consent. JMIR Mental Health, 5(2), e32. https://doi.org/10.2196/mental.9423
Paolieri, D., Marful, A., Morales, L., & Bajo, M. T. (2018). The modulating effect of education on semantic interference during healthy aging. PLOS ONE, 13(1), e0191656. https://doi.org/10.1371/journal.pone.0191656
Paolieri, D., Marful, A., Morales, L., & Bajo, M. T. (2018). The modulating effect of education on semantic interference during healthy aging. PLOS ONE, 13(1), e0191656. https://doi.org/10.1371/journal.pone.0191656
Botto-tobar, M., & Zúñiga-prieto, M. (2018). Technology Trends. https://doi.org/10.1007/978-3-030-05532-5
Educación, C. D., & Asturias, P. D. (2018). La función tutorial en Formación Profesional Head teacher ’ s tasks in Vocational Training María González. 11, 130–140.
Lacave, C., Molina, A. I., & Cruz-Lemus, J. A. (2018). Learning Analytics to identify dropout factors of Computer Science studies through Bayesian networks. Behaviour & Information Technology, 37(10–11), 993–1007.
Didáctica de las Ciencias y la Matemática. (2018). Revista Iberoamericana de Educación, 76(2).
Dharmawan, T., Ginardi, H., & Munif, A. (2018). Dropout Detection Using Non-Academic Data. 2018 4th International Conference on Science and Technology (ICST), 1, 1–4. https://doi.org/10.1109/ICSTC.2018.8528619
Mayra, A., & Mauricio, D. (2018). Factors to predict dropout at the universities: A case of study in Ecuador. IEEE Global Engineering Education Conference, EDUCON, 2018-April, 1238–1242. https://doi.org/10.1109/EDUCON.2018.8363371
Justicia, M. D. E. (2018). Gaceta oficial. 2018(25).
Hegde, V., & Prageeth, P. P. (2018). Higher education student dropout prediction and analysis through educational data mining. Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018, Icisc, 694–699. https://doi.org/10.1109/ICISC.2018.8398887
Sarra, A., Fontanella, L., & Di Zio, S. (2018). Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework. Social Indicators Research, 1–20. https://doi.org/10.1007/s11205-018-1901-8
Myers, C., Furqan, A., Nebolsky, J., Caro, K., & Zhu, J. (2018). Patterns for How Users Overcome Obstacles in Voice User Interfaces. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI ’18, 1–7. https://doi.org/10.1145/3173574.3173580
Inkster, B., Sarda, S., & Subramanian, V. (2018). An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. JMIR MHealth and UHealth, 6(11), e12106. https://doi.org/10.2196/12106
Broeck, L. V. den, Laet, T. D., Lacante, M., Pinxten, M., Soom, C. V., & Langie, G. (2018). Comparison between bridging students and traditional first-year students in engineering technology. European Journal of Engineering Education, 43(5), 741–756.
Burgos, C., Campanario, M. L., Pena, D. de la, Lara, J. A., Lizcano, D., & Martinez, M. A. (2018). Data mining for modeling students’ performance: A tutoring action plan to prevent academic dropout. Computers and Electrical Engineering, 66, 541–556.
Mussida, C., Sciulli, D., & Signorelli, M. (2018). Secondary school dropout and work outcomes in ten developing countries. Journal of Policy Modeling.
Gregori, P., Martínez, V., & Moyano-Fernández, J. J. (2018). Basic actions to reduce dropout rates in distance learning. Evaluation and Program Planning, 66, 48–52.
Itzhaki, Y., Itzhaky, H., & Yablon, Y. B. (2018). The contribution of parental and societal conditional regard to adjustment of high school dropouts. Journal of Adolescence, 62, 151–161.
Costa, F. J. da, Bispo, M. de S., & Pereira, R. de C. de F. (2018). Dropout and retention of undergraduate students in management: a study at a Brazilian Federal University. RAUSP Management Journal, 53(1), 74–85.
Mohamed, M. H., & Waguih, H. M. (2018). A proposed academic advisor model based on data mining classification techniques. International Journal of Advanced Computer Research, 8(36), 129–136.
Alonso-garcía, S., Rodríguez-garcía, A. M., Pilar, M., & Mancha, C. L. (2018). Análisis de la Acción Tutorial y su Incidencia en el Desarrollo Integral del Alumnado . El Caso de la Universidad de Castilla La Analysis of the Tutorial Action and its Impact on the Overall Development of the Students . The Case of the University of. 11(3), 63–72.
Canedo, E. D., Santos, G. A., & Leite, L. L. (2018). An Assessment of the Teaching-Learning Methodologies Used in the Introductory Programming Courses at a Brazilian University. Informatics in Education, 17(1), 45–59.
Hassel, S., Ridout, N., & Ridout, N. (2018). An Investigation of First-Year Students ’ and Lecturers ’ Expectations of University Education. Frontiers in Psychology, 8(January). https://doi.org/10.3389/fpsyg.2017.02218
Perez, B., Castellanos, C., & Correal, D. (2018). Applying Data Mining Techniques to Predict Student Dropout: A Case Study. 2018 IEEE 1st Colombian Conference on Applications in Computational Intelligence, ColCACI 2018 - Proceedings, 1–6. https://doi.org/10.1109/ColCACI.2018.8484847
Chilenas, U., Zapata, G., Leihy, P., & Theurillat, D. (2018). COMPROMISO ESTUDIANTIL EN EDUCACIÓN SUPERIOR : ADAPTACIÓN Y VALIDACIÓN DE UN CUESTIONARIO DE EVALUACIÓN EN Introducción Antecedentes. 204–250.
Weihrauch-Blüher, S., & Wiegand, S. (2018). Risk Factors and Implications of Childhood Obesity. Current Obesity Reports, 7(4), 254–259. https://doi.org/10.1007/s13679-018-0320-0
Bleich, S. N., Vercammen, K. A., Zatz, L. Y., Frelier, J. M., Ebbeling, C. B., & Peeters, A. (2018). Interventions to prevent global childhood overweight and obesity: a systematic review. The Lancet Diabetes & Endocrinology, 6(4), 332–346. https://doi.org/10.1016/S2213-8587(17)30358-3
Salud, C. de. (2018). Proyecto de Ley para la promoción de una vida saludable y una alimentación equilibrada en Andalucía. http://www.finut.org/wp-content/uploads/2018/01/Proyecto-de-Ley-de-Vida-Saludable-1.pdf
Rosa, A., Schaper-Rinkel, P., Ricci, A., Giesecke, S., Gheorghiu, R., Dragomir, B., Cuhls, K., Andreescu, L., Weber, M., Sessa, C., Fraunhofer ISI, AIT, A. I. of T., Institutul de Prospectiva, European Commission, & Directorate-General for Research and Innovation. (2018). Transitions on the Horizon perspectives for the European Union’s future research and innovation policies.
Directorate-General for Research and Innovation. (2018). Transitions on the Horizon perspectives for the European Union’s future research and innovation policies. https://ec.europa.eu/info/sites/info/files/transitions-on-the-horizon-2018_en.pdf
Payton, F. C., Yarger, L. K., & Pinter, A. T. (2018). Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study. JMIR Mental Health, 5(4), e10032. https://doi.org/10.2196/10032
Commission, E. (2018). EU-Compass for Action on Mental Health and Well-being. https://ec.europa.eu/health/mental_health/eu_compass_en
Regios, E. C. of the. (2018). An agenda for new skills and jobs. http://cor.europa.eu/en/policies/growth-and-jobs/Pages/agenda-new-skills-jobs.aspx
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