Auswertungsbericht Lehrveranstaltungsevaluation zur Veranstaltung Advanced Sustainability Management and Corporate Functions

FRIEDRICH ALEXANDER UNIVERSITÄT ERLANGEN NÜRNBERG FACHBEREICH WIRTSCHAFTS WISSENSCHAFTEN Universität Erlangen-Nürnberg Postfach 9 9000 Nürnberg Herr Prof. Dr. Markus Beckmann persönlich/vertraulich Der Studiendekan Prof. Dr. Karl Wilbers Lange Gasse 0, 900 Nürnberg Raum.6 Telefon +9 9 50- Fax +9 9 50-5 wiwi-studiendekan@fau.de www.wiso.fau.de Auswertungsbericht Lehrveranstaltungsevaluation zur Veranstaltung Advanced Sustainability Management and Corporate Functions Sehr geehrter Herr Prof. Dr. Beckmann, anbei erhalten Sie die Ergebnisse der automatisierten Auswertung der Lehrveranstaltungsevaluation im Wintersemester 06/7 zur Veranstaltung: Advanced Sustainability Management and Corporate Functions Für die Ergebnisse aller Items werden je nach Fragetyp die Anzahl und Verteilung der Antworten, der Mittelwert, der Median sowie die Standardabweichung angegeben. Anschließend werden die Antworten auf die offenen Fragen aufgelistet. Bei Veranstaltungen mit einem Rücklauf von weniger als acht Fragebögen werden die offenen Antworten manuell anonymisiert (keine Darstellung der handschriftlichen Angaben). Falls dies bei Ihrer Veranstaltung der Fall ist, achten Sie bitte bei der Interpretation Ihrer Ergebnisse auf die verringerte Aussagekraft der statistischen Auswertungen. Auf der letzten Seite des Auswertungsberichts ist eine Profillinie dargestellt, die den Mittelwert zu den Skalafragen zeichnet. Diese eignet sich zur Präsentation der Ergebnisse in der Lehrveranstaltung sowie zur Veröffentlichung der Ergebnisse im StudOn-Ordner zur Lehrveranstaltung (sofern vorhanden). Gerne nehmen wir Ihre Verbesserungsvorschläge und Kommentierungen zum Verfahren auf. Vielen Dank für Ihre Teilnahme an der Lehrveranstaltungsevaluation. Mit freundlichen Grüßen Prof. Dr. Karl Wilbers HAUSANSCHRIFT Lange Gasse 0 900 Nürnberg TELEFON +9 9 50- Telefax +9 9 50-5 INTERNET www.wirtschaftspädagogik.de www.wipaed.wiso.uni-erlangen.de BANKVERBINDUNG Staatsoberkasse Landshut Bayerische Landesbank München Konto 0 7 9 80 (BLZ 700 500 00)

Prof. Dr. Markus Beckmann Advanced Sustainability Management and Corporate Functions Erfasste Fragebögen = 7 Globalwerte Globalindikator - + mw=,7 s=0, - mw=,6 s=0,5. Planning and Presentation + - mw=,9 s=0,. Interaction with Students + - mw=,6 s=0,6. Interest and Relevance + Legende Relative Häufigkeiten der Antworten Mittelwert Median Fragetext Linker Pol 5% 5 5% Rechter Pol n=anzahl mw=mittelwert md=median s=std.-abw. E.=Enthaltung Skala Histogramm 5. Planning and Presentation.) I was able to follow the lecture in the English language well 5,6% 6,7% 77,8% n=6 mw=,7 md= s=0,6.) The lecture is structured clearly 8,9% 6,% n=6 mw=,6 md= s=0,5.) The content is aligned with clearly defined learning objectives 7,% 5,8% n=6 mw=,5 md= s=0,5 E.=.) Other lectures are put in context,9% 7,% 57,%,9% n=5 mw= md= s=0,7 E.=.5) The lecturer's inputs and explanations are easy to follow and to unterstand 9,7% 70,% n=7 mw=,7 md= s=0,5.6) The teaching materials used during the lecture (e. g. slides, scripts, StudOn) help to understand the content better,9%,% 8,9% n=5 mw=,8 md= s=0,5 E.=.7) The content-related previous know-how of the students participating in the lecture differ. How could the lecturer better deal with this problem? 0.0.07 EvaSys Auswertung Seite

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. Interaction with Students.) The lecturer is friendly and open-minded towards his students 0 n=7 mw= md= s=0.) The lecturer motivates to ask questions and responds to them in detail 8,6% 9,% n=5 mw=,9 md= s=0,.) The students are supported well outside of the lecture (personally, electronically),% 76,7% n=0 mw=,8 md= s=0, E.=6. Interest and Relevance.) The lecture is interesting,6% 78,% n=7 mw=,8 md= s=0,.) The lecturer illustrates what the lecture is good for,8% 6,% 6,% n=6 mw=,6 md= s=0,6.) The research context is considered (methods, developments, projects, results),% 6,5% 58,%,% n= mw=, md= s=0,7 E.=5.) The lecturer links theory and practice (examples, guest lectures, etc.),8% 7,8% 69,% n=6 mw=,7 md= s=0,5 0.0.07 EvaSys Auswertung Seite

. Challenge and Scope.) The degree of difficulty of the lecture is much too low,7% 67,6% 7%,7% much too high n=7 mw=, md= s=0,6 5.) The scope of lecture contents is much too low,8% 6,9% 7,8% 5,6% much too high n=6 mw=, md= s=0,6 5.) The lecture speed is much too low 8,%,5% 5,% much too high n=7 mw=, md= s=0,5 5.) The previous knowledge expected in the lecture is much too low,5% 75,7% 5,% 5,% much too high n=7 mw= md= s=0,6 5 5. Self-study Self-study is a form of study which takes place outside of courses. For example it includes preparation and follow-up course work, literature research and preparation of presentations. 5.) How much time did you spend for self-study for this lecture until now? Please specify in hours per week on average. 0.5% 6.9% 8.% 8.%.7% more than.7% n=7 6. Global Lecture Assessment 6.) What grade do you assign the lecture in general? (very good) 7.8% (good) 5.% n=7 mw=,7 s=0,6 (satisfactory) 8.% (sufficient) 5 (insufficient) 6 (very insufficient) 6.) I learned in the lecture very little,7% 9,7% 5,% 6,% very much n=7 mw=,8 md= s=0,7 5 7. Socio-demographic Data and Background Variables 7.) What learning style do you prefer? Weekly consistent learning. 8.% n=7 I learn a short time before the exam..% A combination of both. 59.5% 0.0.07 EvaSys Auswertung Seite 5

7.) The lecture's subject is interesting not at all 5,9% 5,% a lot n=7 mw=,5 md= s=0,5 7.) How many lectures did you miss? none.% n=7 to 67.6% to 5.% more than.7% 7.) Please state your programme of study Master Arbeitsmarkt & Personal n=6 Master in Economics.8% Master FACT Master IBS 8.% Master IIS Master Management 0.6% Master Marketing 8.% Master MiGG Master Sozialökonomik Master Wirtschafspädagogik 5.6% other.% 7.5) I attended the lecture for the following reason: Mandatory.9% n=5 Elective 97.% 7.6) For how many semesters (including the current semester) have you been participating in your study programme?.% 8.9% 5.% 5.% 5 6 7 8 9 0 >0 n=7 8. Final questions Please write clearly and with a dark pen, to secure readability after scanning. 8.) What do you particularly like about the lecture? 0.0.07 EvaSys Auswertung Seite 6

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8.) What is bad about the lecture? Why? 0.0.07 EvaSys Auswertung Seite 0

8.) What are your suggestions for improvement? What could be implemented from other lectures? 0.0.07 EvaSys Auswertung Seite

Profillinie Teilbereich: Name der/des Lehrenden: Titel der Lehrveranstaltung: (Name der Umfrage) LVE FB WiWi Prof. Dr. Markus Beckmann Advanced Sustainability Management and Corporate Functions Verwendete Werte in der Profillinie: Mittelwert. Planning and Presentation.) I was able to follow the lecture in the English language well n=6 mw=,7 md=,0 s=0,6.) The lecture is structured clearly n=6 mw=,6 md=,0 s=0,5.) The content is aligned with clearly defined learning objectives n=6 mw=,5 md=,0 s=0,5.) Other lectures are put in context n=5 mw=,0 md=,0 s=0,7.5) The lecturer's inputs and explanations are easy to follow and to unterstand n=7 mw=,7 md=,0 s=0,5.6) The teaching materials used during the lecture (e.g. slides, scripts, StudOn) help to understand the content better n=5 mw=,8 md=,0 s=0,5. Interaction with Students.) The lecturer is friendly and open-minded towards his students n=7 mw=,0 md=,0 s=0,0.) The lecturer motivates to ask questions and responds to them in detail n=5 mw=,9 md=,0 s=0,.) The students are supported well outside of the lecture (personally, electronically) n=0 mw=,8 md=,0 s=0,. Interest and Relevance.) The lecture is interesting n=7 mw=,8 md=,0 s=0,.) The lecturer illustrates what the lecture is good for n=6 mw=,6 md=,0 s=0,6.) The research context is considered (methods, developments, projects, results) n= mw=, md=,0 s=0,7.) The lecturer links theory and practice (examples, guest lectures, etc.) n=6 mw=,7 md=,0 s=0,5. Challenge and Scope.) The degree of difficulty of the lecture is much too low much too high n=7 mw=, md=,0 s=0,6.) The scope of lecture contents is much too low much too high n=6 mw=, md=,0 s=0,6.) The lecture speed is much too low much too high n=7 mw=, md=,0 s=0,5.) The previous knowledge expected in the lecture is much too low much too high n=7 mw=,0 md=,0 s=0,6 0.0.07 EvaSys Auswertung Seite 6

6. Global Lecture Assessment 6.) I learned in the lecture very little very much n=7 mw=,8 md=,0 s=0,7 7. Socio-demographic Data and Background Variables 7.) The lecture's subject is interesting not at all a lot n=7 mw=,5 md=,0 s=0,5 0.0.07 EvaSys Auswertung Seite 7